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hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. \n As a Python Lead Software Engineer (Athena platform) at JPMorganChase within the Commodities Derisking Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. . \n Job responsibilities \n Develop next gen applications for Commodities trading desks across the globe at JPMorganChase \n\n • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\n, • Develops secure high-quality production code, and reviews and debugs code written by others\n, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\n, • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture\n, • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\n, • Adds to team culture of diversity, opportunity, inclusion, and respect\n\n Required qualifications, capabilities, and skills \n\n • Experience in working with Front Office Trading Desks. \n, • High proficiency in Python\n, • Hands-on practical experience delivering system design, application development, testing, and operational stability\n, • Advanced in one or more programming language(s)\n, • Proficiency in automation and continuous delivery methods\n, • Proficient in all aspects of the Software Development Life Cycle\n, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\n, • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\n, • In-depth knowledge of the financial services industry and their IT systems\n, • Practical cloud native experience\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n As we grow, we’re looking to expand our Auto complaints handling team. As an excellent communicator, you will quickly build relationships with customers and other departments across Lendable to understand customer friction points and come to fair and objective decisions. \n If you have experience of either handling complex complaints (preferably motor or secured product related) or have worked in the automotive finance sector and have the following skills we’d love to hear from you: \n\n • \n Problem solving and decision making skills - putting the customer at the heart of everything you do \n • \n The ability to assess and critique evidence coming to a fair and comprehensive decision \n • \n Be able to shift focus and re-prioritise workloads based on business and customer needs \n • \n Great phone and written communication skills, being clear and concise to promote customer understanding. \n • \n The ability to build rapport and manage multiple third parties including ensuring that customer expectations are managed. \n\n Also, even better if you have: \n\n • \n Experience of working in a regulated motor finance environment \n • \n An understanding of the Consumer Rights Act 2015 \n • \n An understanding of Motor related policies and industry standards \n • \n The ability to comprehend complex Satisfactory Quality-related complaints. \n\n Your team’s objectives \n Lendable aims to resolve all complaints promptly, ensuring that they are investigated diligently and fairly for customers. Lendable is committed to providing excellent customer service and ensuring that it reaches the right outcomes for our customers. \n Feedback is an important part of how we can evolve as a business to ensure that we are meeting our customers' expectations and continuously improving our service and the team is encouraged to speak up, take each complaint on its own merits and provide valuable insights to the business in order to improve and grow. \n Our ability to handle complaints effectively for our customers, and therefore to the benefit of us as a business, has never been more important than now; as we expand our existing products in the UK and US financial markets. \n How you’ll impact those objectives \n The ideal candidate will have experience of resolving complaints or customer disputes within a regulated environment and have an aptitude for investigating, analysing, problem-solving and dispute resolution. \n\n • \n You will be able to self manage a varied and complex caseload, identifying best contact mechanisms for customers and prioritising cases where appropriate to be highly productive and efficient, and to maintain the required level of performance against our KPI minimum standards. \n • \n You will champion using our AI tools and technology to bring a first class service to our customers. \n • \n You will work well under pressure and be adaptable, being able to turn your hand to other areas of operational need, as the business may require. \n • \n You will ensure that you follow our complaint handling standards, have good record keeping skills and ensure that all decisions made are backed up with demonstrable evidence and rationale. \n • \n You will work closely with the Complaints Team, to resolve complaints about our loans, cards and auto-finance products, as well as be responsible for feeding back to both frontline and product teams on product and process improvements across the Operations Team and wider Lendable business. \n • \n You will be responsible for communicating with the complainant, either in writing or by phone and will enjoy finding solutions to issues raised, managing customer expectations and handling difficult situations with tact and professionalism. \n • \n You will have a good knowledge and understanding of FCA regulation as well as DISP complaint handling rules and guidance. \n • \n You will also ensure that you maintain up to date knowledge of Lendable’s products through effective use and review of policies, procedures and business tools made available to you. \n • \n You will have strong letter writing skills, being able to create professional final response letters which break down complex issues into comprehensible information for consumers to understand. \n • \n You will also have a sound moral compass, speaking up where necessary to ensure that good customer outcomes are always at the heart of what we do, striving to resolve complaints without the need for the customer to refer to the Financial Ombudsman Service, and ensuring you are applying any learnings from both internal and FOS complaints to future complaint cases. \n\n The Interview Process \n\n • \n A quick phone call with one of the team \n • \n An exercise to demonstrate your ability to resolve complaints \n • \n An assessment to evidence your knowledge of FCA regulations and DISP complaint handling rules/guidance. \n • \n Onsite Interview \n • \n Discuss the exercises you have completed \n • \n Meet the team you’ll work with daily \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. \n At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. \n If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. \n Skills and Competencies \n\n • ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments\n, • Agile Leadership: Coaches Scrum/Kanban practices; drives ceremonies and continuous improvement\n, • Backlog & Execution: Builds, prioritizes, and manages backlogs; aligns scope, timeline, and quality across squads\n, • Stakeholder Communication: Delivers project status updates, manages dependencies/risks, and facilitates decisions\n, • Project Reporting & Governance: Maintains dashboards and documentation; enforces delivery standards and controls\n, • Tools: Jira, Confluence, Agile estimation (story points, velocity, burndown)\n, • Technical Fluency (Preferred): Working knowledge of data science workflows, coding concepts, AWS, and enterprise deployments\n, • Multi-Squad Coordination (Preferred): Experience scaling delivery across regions and cross-functional teams\n, • Familiarity with Machine Learning and GenAI tools and frameworks\n, • Good knowledge of finance concepts, notably financial analysis\n, • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency\n, • Proven ability to implement AI-powered solutions to solve business challenges\n\n Education \n\n • Bachelor’s or master’s degree in computer science, engineering, or a related field is preferred. Candidates with business-related degrees will also be considered, provided they have prior hands-on technical experience\n, • Professional certifications such as PMP (Project Management Professional), AWS Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable\n\n Responsibilities \n\n • Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives\n, • Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments\n, • Facilitate quarterly planning and roadmap alignment with engineering and product teams\n, • Champion Agile methodologies (Scrum, Kanban) and coach cross-functional teams to embed Agile mindsets\n, • Facilitate ceremonies, retrospectives, and workshops to foster adaptability and innovation\n, • Engage with senior stakeholders across the organization, including analytical and technology teams\n, • Ensure transparency through dashboards, objectives and key results, and performance reporting\n, • Assist with running product pilot programmes, product rollouts, user feedback collection in the product management cycle\n, • Identify and mitigate delivery risks proactively\n, • Track quality metrics and drive continuous improvement\n, • Partner with data science, ML operations, and front-end teams to optimise release processes and reduce time-to-market\n, • Ensure alignment of delivery with product vision and business strategy\n\n About The Team \n Moody’s Ratings’ AI Analytics group develops advanced ML/GenAI for high-profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure ML/Gen AI solutions. The successful candidate will strive to meet Moody’s values: openness, diversity, inclusivity, respect, and a willingness to learn. \n Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. \n Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n Team you will be working with: Receive Risk \n The Receive Risk team is part of Acquiring Squad, in the Global Product tribe, dedicated to ensuring customers can receive money quickly and securely, using our full suite of Acquiring products. We build smart fraud detection and prevention systems to stop scammers and fraudsters from exploiting Wise or defrauding our customers. \n Supporting our full suite of Acquiring products — QuickPay, Payment links, Invoices, e-commerce, and more — we work closely with our financial crime teams to strike the perfect balance: seamless experiences for legitimate users, strong barriers against bad actors. \n What will you be working on? \n We're looking for a Backend Engineer to build a fraud engine that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently. \n What do you need? \n\n • \n Hands-on experience with distributed systems, including microservices architecture and backend services supporting large-scale traffic. \n • \n Proven ability to deliver high-performance, low-latency systems with a focus on speed, scalability, and reliability. \n • \n Strong product-oriented mindset, with end-to-enpd ownership of features and close collaboration across teams. \n • \n Proficiency in Java (preferred) or solid experience with similar backend programming languages. \n • \n Familiarity with messaging systems such as Kafka or RabbitMQ, and strong knowledge of relational databases (SQL). \n • \n Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value. \n\n Nice to Have: \n\n • \n Understanding of basic machine learning concepts and experience building data pipelines. \n • \n Mentorship experience, helping team members grow and contributing to a culture of continuous learning. \n\n Additional Information \n Interested? Find out more: \n\n • \n How we work - a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it’s like to work at Wise London \n • \n Our engineering career map \n\n Wise Engineering – https://medium.com/wise-engineering \n What do we offer: \n\n • \n Starting salary: £87,000 - £111,000 + RSU \n • \n Wise Benefits \n\n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n As we grow, we’re looking for a Complaints Officer to help us investigate and resolve our more complex customer interactions. As an excellent communicator, you will quickly build relationships with customers and other departments across Lendable to understand customer friction points and come to fair and objective decisions. Your team’s objectives \n\n • \n Lendable aims to resolve all complaints promptly, ensuring that they are investigated diligently and fairly for customers. Lendable is committed to providing excellent customer service and ensuring that it reaches the right outcomes for our customers. \n • \n Feedback is an important part of how we can evolve as a business to ensure that we are meeting our customers' expectations and continuously improving our service and the team is encouraged to speak up, take each complaint on its own merits and provide valuable insights to the business in order to improve and grow. \n • \n Our ability to handle complaints effectively for our customers, and therefore to the benefit of us as a business, has never been more important than now; as we expand our existing products in the UK and US financial markets. How you’ll impact those objectives \n • \n The ideal candidate will have experience in resolving complaints or customer disputes within a regulated environment and have an aptitude for investigating, analysing, problem-solving and dispute resolution. \n • \n You will be able to self manage a varied and complex caseload, identifying best contact mechanisms for customers and prioritising cases where appropriate to be highly productive and efficient, and to maintain the required level of performance against our KPI minimum standards. \n • \n You’ll work well under pressure and be adaptable, being able to turn your hand to other areas of operational need, as the business may require. \n • \n You will ensure that you follow our complaint handling standards, have good record keeping skills and ensure that all decisions made are backed up with demonstrable evidence and rationale. \n • \n You’ll work closely with the Complaints Team, to resolve complaints about our loans, cards and auto-finance products, as well as be responsible for feeding back to both frontline and product teams on product and process improvements across the Operations Team and wider Lendable business. \n • \n You will be responsible for communicating with the complainant, either in writing or by phone and will enjoy finding solutions to issues raised, managing customer expectations and handling difficult situations with tact and professionalism. \n • \n You will have a good knowledge and understanding of FCA regulation as well as DISP complaint handling rules and guidance. \n • \n You will also ensure that you maintain up to date knowledge of Lendable’s products through effective use and review of policies, procedures and business tools made available to you. \n • \n You will have strong letter writing skills, being able to create professional final response letters which break down complex issues into comprehensible information for consumers to understand. \n • \n You will also have a sound moral compass, speaking up where necessary to ensure that good customer outcomes are always at the heart of what we do, striving to resolve complaints without the need for the customer to refer to the Financial Ombudsman service, and ensuring you are applying any learnings from both internal and FOS complaints to future complaint cases. \n\n The Interview Process \n\n • \n A quick phone call with one of the teamAn exercise to demonstrate your ability to resolve complaints \n • \n An assessment to evidence your knowledge of FCA regulations and DISP complaint handling rules/guidance \n • \n Onsite interview to discuss the exercises you have completedMeet the team you’ll work with daily \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Solirius Reply to connect them with exceptional professionals for this role. \n About Us: \n Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs. \n It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. \n We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. \n About You: \n You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values \n The Role: \n We are seeking a highly skilled Java Engineer with AI expertise to design, develop, and deploy intelligent, scalable applications. You will work at the intersection of backend engineering and artificial intelligence, building systems that integrate machine learning models, data pipelines, and cloud-native services. \n This role is ideal for someone passionate about clean architecture, performance optimization, and applying AI technologies to real-world business challenges. \n Requirements \n Key Responsibilities \n\n • Design, develop, and maintain high-performance Java-based applications\n, • Integrate AI/ML models into production-grade backend systems\n, • Build RESTful APIs and microservices using modern Java frameworks\n, • Collaborate with data scientists to deploy and scale machine learning solutions\n, • Optimise system performance, scalability, and security\n\n\n, • Implement CI/CD pipelines and ensure high code quality standards\n, • Work with cloud platforms to deploy AI-powered services\n, • Contribute to architecture decisions and technical roadmaps\n, • Design, develop, and maintain high-performance Java-based applications\n, • Integrate AI/ML models into production-grade backend systems\n, • Build RESTful APIs and microservices using modern Java frameworks\n, • Collaborate with data scientists to deploy and scale machine learning solutions\n, • Optimise system performance, scalability, and security\n, • Implement CI/CD pipelines and ensure high code quality standards\n\n\n, • Work with cloud platforms to deploy AI-powered services\n, • Contribute to architecture decisions and technical roadmaps\n\n Required Qualifications \n\n • Strong experience with Java 12+, Spring Boot, and microservices architecture\n, • Experience integrating AI/ML solutions into backend systems\n, • Understanding of REST APIs, distributed systems, and database design\n, • Familiarity with SQL and NoSQL databases\n, • Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure)\n, • Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes\n, • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries)\n, • Strong problem-solving and communication skills\n\n Preferred Qualifications \n\n • Experience with NLP, computer vision, or recommendation systems\n, • Familiarity with MLOps practices and model lifecycle management\n, • Knowledge of event-driven architectures (Kafka or similar)\n, • Experience with DevOps tooling and infrastructure as code\n, • Exposure to Generative AI and large language models\n\n Benefits \n What We Offer: \n\n • Competitive Salary\n, • Bonus Scheme\n, • Private Healthcare Insurance\n, • 25 Days Annual Leave + Bank Holidays\n, • Up to 10 days allocated for development training per year\n, • Enhanced Parental Leave\n, • Paid Fertility Leave (5 Days)\n, • Statutory & Contributory Pension\n, • EAP with Help@Hand\n, • Gym Membership Benefits\n, • Flexible Working\n, • Annual Away Days/Company Socials\n\n Equality & Diversity: \n Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. \n Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. \n Job Summary \n As an Associate or a Vice President in the Quantitative Trading & Research (QTR) Securities Services and Payments, you will support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging policies for interest rate risk management. You will be in tight partnership with the business in identifying their most pressing pain points and iterating towards a solution that really works for them. If you are passionate about solving real-world problems using your quantitative background and experience, this may be just the team for you. \n Job responsibilities \n\n • Work with business leads to develop AI/ML-driven analytics and automation that support their business goals.\n, • Build up a scalable data architecture to handle the large volume of transaction data\n, • Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management\n, • Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints\n, • Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development\n, • Make real-world, commercial recommendations through effective presentations to various stakeholders\n, • Leverage data visualization to communicate quantitative insights to help business decision-making\n, • Work closely with colleagues in Quantitative Research, CIB Treasury, Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward\n\n Required qualifications, capabilities, and skills \n\n • Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc\n, • Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application\n, • Experience in tackling real world data science problems, end-to-end from prototype to production, using Python\n, • Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience\n, • Passion for learning, sharing knowledge, building collaborations, and getting things done\n\n Preferred qualifications, capabilities, and skills \n\n • Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub\n, • You demonstrate hands-on experience in solving sequential decision making problems\n, • Experience in applying LLMs and/or deep learning methods to solve business problems\n, • Experience in working with Cloud and/or HPC environments\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Help shape the next wave of Applied AI innovation in Markets Operations by turning ideas into production-ready solutions. You will build practical AI capabilities that improve workflows, strengthen controls, and unlock productivity for teams across the organization. Working alongside engineers, AI specialists, and operations partners, you will bridge cutting-edge techniques with enterprise-grade systems. At JPMorganChase, you can grow your career through meaningful work, strong mentorship, and hands-on ownership. Join a team that values creativity, collaboration, and continuous learning. \n As an Applied AI Engineer in the applied AI team within Markets Operations, you will design, build, test, and deploy scalable AI services integrated with strategic systems and operational processes. You will collaborate with software engineers, AI and data science specialists, operations stakeholders, and business partners to improve operational workflows, controls, and the software development lifecycle. You will focus on hands-on engineering across Python services, APIs, data pipelines, infrastructure, monitoring, and production readiness. You will build domain knowledge across Markets Operations and translate real workflow pain points into durable solutions. You will contribute to a culture of innovation, collaboration, and engineering excellence. \n Job Responsibilities \n\n • Contribute to technology and architecture patterns that enable AI solutions across Markets Operations and software engineering use cases\n, • Build and enhance robust, scalable, reusable AI services and supporting infrastructure using modern technologies\n, • Collaborate with AI and data science specialists to design, develop, test, and deploy services integrated with strategic systems and operational processes\n, • Learn Markets Operations processes and apply that knowledge to develop practical solutions and integrations with banking operations systems\n, • Evaluate new AI infrastructure technologies and share findings to inform team technical decisions\n, • Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing\n, • Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability\n, • Partner with operations stakeholders to understand workflow pain points and translate them into practical technology solutions\n\n Required Qualifications, Capabilities, and Skills \n\n • Hold a Bachelor's or Master's degree in Computer Science, Software Engineering, a related field, or equivalent practical experience\n, • Demonstrate strong Python programming skills\n, • Design, develop, and integrate RESTful APIs, such as with FastAPI\n, • Build and support ETL and data pipeline engineering workflows\n, • Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines\n, • Design and integrate databases and data models\n, • Apply monitoring practices and understand controls and compliance concepts in production environments\n, • Communicate effectively in writing and verbally, explaining technical concepts to technical and non-technical audiences\n, • Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work\n\n Preferred Qualifications, Capabilities, and Skills \n\n • Apply AI and machine learning concepts with a strong interest in applied AI productization\n, • Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets, or enterprise technology\n, • Demonstrate familiarity with Markets Operations processes such as trade lifecycle, post-trade operations, reconciliations, controls, or exception management\n, • Use AWS and tools such as MLflow\n, • Develop front-end capabilities with React or modern front-end development\n, • Apply graph database modeling concepts\n\n Why Join Us? \n Your contributions will help redefine what's possible in financial services. You'll be part of a team that values creativity, collaboration, and continuous learning, empowering you to make a real impact and grow your career. \n #CIBAppliedAI \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n Recurring Payin team owns the Direct Debit API that powers automated payments into Wise. Underneath this, we are building a platform that allows customers to easily schedule top-ups or business collections. \n The platform is also built on top of our internal Payin Platform rails; which is a critical component to the Wise money-movement machine and we’re looking for an engineer motivated to come and help us build for this. \n We primarily offer APIs for any partner looking to set up automated funding or pre-authorizations. From setting up GBP balance top ups automatically to allowing business partners collect EUR bills monthly without having the customer go through the flow every time; our platform aims to consolidate all these use-cases. \n We aim to allow customers to give a one time permission (pre-authorization) for Wise to pull money across any payment method, a USD bank account or a EUR issued bank card; you name it. \n Job Responsibilities: \n\n • Design, develop, test, and maintain backend services written in Java and Kotlin using the Spring Boot framework, deployed on cloud infrastructure (AWS)\n, • Build and maintain RESTful APIs that serve millions of customers across web and mobile platforms\n, • Develop and optimise services powering the card pay-in payment method — one of the most popular payment methods, enabling Wise customers to move around £1 billion every month\n, • Design and implement database schemas, write and optimise SQL queries against PostgreSQL databases handling high-volume transactional data\n, • Build and maintain event-driven architectures using Apache Kafka for asynchronous processing of financial events across distributed services\n, • Develop and maintain a payment orchestration system that dynamically routes payments across Payment Service Providers to optimize for cost and reliability\n, • Write automated tests (unit, integration, and end-to-end) to ensure correctness and reliability of financial systems\n, • Conduct code reviews for team members, ensuring code quality, security, and adherence to engineering standards\n, • Participate in on-call rotations to monitor and respond to production incidents for Tier 2 critical services\n, • Collaborate with product managers, designers, analysts, and engineers across other teams to deliver cross-functional projects\n, • Identify and resolve performance bottlenecks, scalability issues, and technical debt in existing systems\n, • Ensure development follows security best practices, particularly around handling of sensitive financial data and compliance with financial regulations\n\n Qualifications \n Requirements \n\n • Great communication skills and the ability to articulate complex, technical concepts to non-technical audiences\n, • Ability to work independently while also being a good team player. Your work will frequently involve cross-team collaboration.\n, • Ability to break down complex projects into incremental milestones that deliver customer value\n, • Experience in developing web applications and distributed systems in a production environment\n, • Experience with common design and architectural patterns coupled with a passion for writing clean code that is performant and well tested\n, • Curiosity and drive for continuous learning and improvement\n, • Following and advocating best coding practices, continuous delivery and code reviews\n, • Experience working with relational and non-relational databases, query optimisation and designing schemas is a plus\n, • Knowledge of Java and Spring boot and experience with a messaging system, like Kafka, is a plus\n\n …but don’t worry we don’t expect you to know everything! \n Additional Information \n What does success look like? \n\n • You’ll have onboarded and found your place through understanding your team and tribe vision and how you can contribute\n, • You’ll understand how our values can help you guide your work\n, • You’ll understand the reasons behind problematic payments and customer difficulties and how to go about solving them\n, • You’ll be raising the automation level to enable scaling of the product\n, • You’ll understand our customers and the impact our product makes in their lives\n, • You’ll help us scale-up and build a world class global banking product by finding solutions to our technical challenges and opportunities\n\n Interested? Find out more: \n\n • \n How we work - a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it’s like to work at Wise London \n • \n Our engineering career map \n\n Wise Engineering – https://medium.com/wise-engineering \n What do we offer: \n\n • \n Starting salary: £87,500 - £111,000 + RSUs \n • \n Wise Benefits \n\n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. \n Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. \n Individual pay is determined by factors including job-related skills, experience, and relevant education or training. \n France: €176000 - €180000 (EUR) + 25% bonus target + equity + benefits \n Learn more about benefits at Google. \n Minimum qualifications: \n\n • Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.\n, • 10 years of experience in technical sales engineering or software engineering with cloud-native architectures.\n, • Experience architecting, training, or deploying machine learning models and managing AI/ML infrastructure.\n, • Experience working with the early-stage startup ecosystem, including founders, venture firms, or accelerators.\n\n Preferred qualifications: \n\n • Direct experience as a startup Founder, Co-Founder, or Chief Technology Officer (CTO) who has successfully built, scaled, and navigated a technical venture through early-stage growth, venture funding, or acquisition.\n, • Experience contributing to the developer community through open-source contributions, technical publications, or speaking at industry conferences in the field of AI/ML.\n, • Deep expertise in AI/ML, specifically with large language models (LLMs) and generative AI applications.\n, • \n Ability to communicate in English and French fluently to communicate in this customer-facing sales role. \n • \n A leader with a track record of working in complex, highly-matrixed, cross-functional environments across countries and cultures. \n\n Responsibilities: \n\n • Engage, onboard, and provide technical advisory to high-potential founders.\n, • Expand our presence in key European technology hubs by designing and leading advanced technical workshops, presenting keynotes at premier developer events, and maintaining a strong professional standing on public developer platforms.\n, • Act as point of contact for founders to navigate Google’s broader ecosystem, securing custom resource allocations and bypassing typical operational friction. Validate architectures, and build technical prototypes or demonstrations of advanced AI capabilities.\n, • Partner closely with Venture Ecosystem teams to lead technical workshops and scale adoption. Coordinate with regional sales and engineering teams to transition accounts.\n, • Act as the liaison between startup founders and internal product, engineering, and research teams. Gather, synthesize, and advocate for critical technical requirements and product gaps, directly influencing our long-term hardware, software, and AI product roadmaps.\n\n For France Applicants: \n Google welcomes people with disabilities.

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role. \n Senior Data Scientist I \n Excited to uncover insights from complex data and turn them into impactful business decisions? \n Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? \n About the team: \n LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. \n Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. \n About the role: \n We are seeking a Senior Data Scientist I to help with the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. \n Key Responsibilities: \n\n • \n Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). \n • \n Define agentic workflows and reasoning strategies for multi-step IP tasks. \n • \n Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). \n • \n Analyse large-scale IP datasets to extract insights and improve model performance. \n • \n Establish best practices for model evaluation, validation, and benchmarking. \n • \n Translate experimental results into clear product recommendations and business impact. \n • \n Collaborate with product, IP experts, and engineers to align solutions with user needs. \n\n Requirements: \n\n • \n Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). \n • \n Strong experience in machine learning, NLP, and LLM-based modeling. \n • \n Strong experience designing and running experiments, including model evaluation and iteration. \n • \n Strong coding skills in Python. \n • \n Experience with generative AI techniques (e.g., prompt engineering, RAG). \n • \n Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. \n • \n Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. \n • \n Proficiency in data analysis tools. \n • \n Strong foundation in statistics, modeling, and large-scale text processing. \n\n Why Join Us? \n Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. \n Work in a way that works for you \n We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. \n\n • \n Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. \n\n Working for you \n We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: \n\n • \n Generous holiday allowance with the option to buy additional days. \n • \n Health screening, eye care vouchers, and private medical benefits \n • \n Wellbeing programs \n • \n Life assurance \n • \n Access to a competitive contributory pension scheme \n • \n Save As You Earn share option scheme. \n • \n Travel Season ticket loan. \n • \n Electric Vehicle Scheme \n • \n Optional Dental Insurance \n • \n Maternity, paternity, and shared parental leave \n • \n Employee Assistance Programme \n • \n Access to emergency care for both the elderly and children \n • \n RECARES days, giving you time to support the charities and causes that matter to you. \n • \n Access to employee resource groups with dedicated time to volunteer. \n • \n Access to extensive learning and development resources \n • \n Access to the employee discounts scheme via Perks at Work \n\n About the business- \n At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measureds by how well we deliver these results. \n We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. \n We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. \n Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. \n Please read our Candidate Privacy Policy. \n We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. \n USA Job Seekers: \n EEO Know Your Rights.

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n Role Overview \n As the Head of Complaints, you will hold a pivotal leadership position reporting to the Director of Complaints, Fraud and Financial Crime. You will be at the heart of our mission to make consumer finance faster, cheaper, and friendlier. By championing the benefits of learning from complaint outcomes across the business, you will lead the strategic direction of our complaints department across multiple product lines. \n This is more than a management role; it is a mandate to build a high-performance environment that balances rigorous FCA regulatory compliance with the innovative, technology-driven agility of a leading fintech unicorn. You will be responsible for resolving complex issues, identifying systemic root causes, and fostering a culture of continuous learning and improvement to deliver exceptional customer outcomes. \n Key ResponsibilitiesStrategic Leadership & Team Development \n\n • \n Lead the Complaints Department: Set the strategic direction and objectives for the team, ensuring quality is maintained across all service lines. \n • \n Foster Growth Culture: Identify and develop future leaders through coaching and support, ensuring promotion is limited only by ability and ambition. \n • \n Drive Performance: Oversee a high-performance team with a relentless focus on productivity, efficiency, and consistency. \n • \n Stakeholder Management: Build and manage strategic partnerships across the business and champion the function at key meetings, including the Risk Committee. \n\n Operational Excellence & Innovation \n\n • \n Process Redesign: Continually review and optimise complaints processes to ensure they remain scalable and offer the best possible customer journey. \n • \n Root Cause Analysis (RCA): Lead all aspects of Root Cause and Remediation activity resulting from complaints to identify systemic failures and drive long-term business improvements. \n • \n Data-Driven Insights: Confidently interpret performance data and reporting to highlight areas for change and realise cost efficiencies. \n • \n Technology Integration: Leverage in-house technology, machine learning, and AI to automate heavy lifting and enhance resolution speed. \n\n Governance, Risk & Compliance \n\n • \n Regulatory Liaison: Act as the primary relationship holder with the Financial Ombudsman Service (FOS) and ensure all reporting to the FOS or the FCA meets DISP requirements. \n • \n Policy Ownership: Continuously redesign and re-engineer procedures to adapt to product growth and customer demand, ensuring full adherence to FCA regulations. \n • \n Conduct Risk: Proactively identify, monitor, and control conduct risk to prevent customer detriment. \n • \n Reporting: Take full responsibility for complaints data accuracy and reporting to the regulator and white-label partners. \n • \n Risk Mitigation: Ensure any identified risks are mitigated, actions are owned and delivered to plan, and drive accountability to promote a well-controlled function. \n\n Required Qualifications \n\n • \n Extensive Leadership Experience: Significant experience leading teams within the financial services sector. \n • \n Regulatory Expertise: Practical knowledge of FCA regulatory requirements and DISP rules. \n • \n Strategic Influence: Proven ability to manage and influence key influencers and decision-makers. \n • \n Communication Skills: Strong communication skills, both written and verbal. \n • \n Fast-Paced Delivery: A track record of prioritising and delivering in a fast-moving, high-growth environment. \n • \n Hands-on Approach: A self-starter who is willing to dive into the details of the team's work. \n\n Preferred Qualifications \n\n • \n Industry Specifics: Experience working in the motor industry or handling automotive finance complaints is highly desirable. \n • \n Fintech Background: Previous experience in a "unicorn" or rapidly scaling fintech environment. \n • \n Technical Literacy: Fluency in modern digital tools and an interest in AI-driven operational solutions. \n\n Interview Process \n 1) 30 minute call with a member of the Talent Team \n 2) 15 minute Cognitive Assessment \n 3) 45 minute Case Study Interview \n 4) 60 minute Onsite Interview with the Director of Complaints, Fraud and FinCrime \n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. \n We are looking for a Product Manager to ensure the business has a secure, scalable, and high‑performing payments foundation that enables seamless transactions and effective fraud protection. \n This is a strategic role within Group Product & Platform, and you will lead the development, launch and scaling of the Group Marketing & Loyalty platform as a core enterprise capability. Define the long-term vision. Shape the roadmap. Deliver the first implementation. Then scale it across the business. You will operate across Product, Engineering, Architecture, Data and Proposition teams, driving alignment and adoption in a complex, multi-brand environment \n\n • Define and evolve a strategic roadmap that aligns with enterprise goals, customer experience\n, • priorities, and the evolving fraud and risk landscape.\n, • Own and prioritise the payments platform roadmap aligned ensuring it delivers secure,\n, • seamless, and scalable payment capabilities across all banners.\n, • Advocate for platform principles including API-first design, modularity and reuse.\n, • Own the product relationship with key technology vendors.\n, • Drive platform adoption across Kingfisher banners.\n, • Setup and operate platform governance that safeguard payment flows, ensure compliance, and embed robust fraud controls and detection capabilities.\n, • Line manage multiple Product Owners.\n, • Develop product practices within the product teams.\n\n Activities I do to deliver my role: \n\n • Translate enterprise strategy into a clear, phased platform roadmaps.\n, • Partner closely with architecture and engineering to shape platform strategy.\n, • Partner with Fraud Operations, Risk, and Data Science teams to ensure the platform proactively responds to emerging fraud vectors and regulatory requirements.\n, • Establish platform guardrails and adoption criteria.\n, • Ensure platform capabilities support continuous monitoring, anomaly detection, chargeback\n, • reduction, and loss prevention.\n, • Provide structured updates to senior stakeholders and governance forums.\n, • Monitor platform performance, risks, costs and scalability considerations.\n, • Coach and develop product capability within the platform teams.\n\n\n, • Strong experience in payments ecosystems (cards, A2A, digital wallets, PSPs, acquiring, settlement)\n, • Track record of delivering platform products in complex, multi-brand or multi-market environments\n, • Experience balancing commercial outcomes with technical constraints and regulatory requirements\n, • Strong stakeholder management across Engineering, Architecture, Data, Fraud, Security and Compliance\n, • Data-led decision making across performance, cost and fraud metrics\n, • Understanding of fraud prevention approaches (rules engines, tooling, machine learning signals)\n, • Experience working in API-first or event-driven environments\n\n Operating environment \n\n • Multi-brand, multi-market complexity\n, • High transaction volumes with real financial exposure\n, • Structured governance alongside the need for pace\n, • Platform-first mindset over local optimisation\n\n You will be a strategic product leader who is comfortable working across multiple teams and functions, bringing clarity to complexity and helping shape shared platforms that create long term business value. You will be confident engaging senior stakeholders, driving alignment and building strong product practices within your team. \n At Kingfisher, we are looking for people who are customer focused, curious, agile, inclusive, accountable and human in the way they lead and work with others. \n How We Work \n We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average, around 60% of your time will involve in-person collaboration. \n We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements. \n What We Offer \n An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here. \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits. \n Diversity & Inclusion \n Our customers come from all walks of life - and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-TB1

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. \n As a Lead DevOps Engineer at JPMorganChase within the Global Electronic Trading Group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. \n The Execution Services Technology department is looking for a DevOps team member who can support the latency Electronic Trading, Data Analytics and Quant environments. The role will be based in London, and will entail both working closely with the London Business and our Global partners \n Job responsibilities \n\n • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors\n, • Develops secure and high-quality production code, and reviews and debugs code written by others\n, • Drives decisions that influence the product design, application functionality, and technical operations and processes\n, • Serves as a function-wide subject matter expert in one or more areas of focus\n, • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle\n, • Influences peers and project decision-makers to consider the use and application of leading-edge technologies\n, • Adds to the team culture of diversity, opportunity, inclusion, and respect\n, • Coordinates DevOps / Integration release management activities\n, • Monitoring & Management of Plant Capacity & Reporting\n, • Management of Continuous Integration Environment\n, • Third Level Support Production Support\n\n Required qualifications, capabilities, and skills \n\n • Hands-on practical experience delivering system design, application development, testing, and operational stability\n, • Advanced in one or more programming language(s)\n, • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\n, • Ability to tackle design and functionality problems independently with little to no oversight\n, • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field\n, • Linux: understands the OS architecture, fluent user of the command line, can fluently speak either Perl or Python, UNIX scripting, Java\n, • Cloud native: skilled in building and running applications that fully leverages cloud computing, using technologies like microservices, containers, and dynamic orchestration\n, • CI/CD: Hands on experience of CI/CD technologies like Jules, Jenkins are highly desirable. Exposure to release management tools is needed.\n, • Automation/Tools Development: Design/Develop/maintain automated tools for toil reduction, reporting based on python and other scripting language \n \n\n Preferred qualifications, capabilities, and skills \n\n • AWS experience\n, • Kubernetes\n, • Terraform\n\n ABOUT US \n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Sainsbury's DTD to connect them with exceptional professionals for this role. \n At Sainsbury’s, data sits at the heart of how we operate, innovate and serve our customers. Our Data & Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury’s powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury’s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you’ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving. Join us and help shape the future of retail through data and AI. \n Why join us \n Joining Sainsbury's as a Metadata & Data Quality Analyst offers a unique opportunity to play a pivotal role in enhancing data quality and driving impactful changes within the organisation. As part of our team, you will have the chance to manage and optimise the Group Data Catalogue, implementing data quality processes, and collaborating with stakeholders to ensure data integrity and value. With a focus on continuous improvement and innovation, you will be at the forefront of shaping data-driven solutions and contributing to the organisation's success. At Sainsbury's, you will be part of a dynamic and forward-thinking environment that values excellence, collaboration, and professional growth. \n What you'll do \n To drive and deliver the operational management of ‘assured data’ across the organisation, by progressing data quality improvements/controls and the Group Data Catalogue content and ownership, to ensure analytics, insights and decisions are based on validated data. The role will involve working across multiple teams, a mix of systems with a range of tools and technologies. \n As a Metadata & Data Quality Analyst at Sainsbury's, your primary responsibility will be to manage and optimise the operational management of the Group Data Catalogue, ensuring that data quality is continuously improved through profiling, rule implementation, and triage processes. You will play a crucial role in developing and implementing data catalogue processes that enable users to work with data efficiently, supporting rapid discovery, prototyping, and data science initiatives that drive production solutions. Your role will involve identifying and prioritising artefacts for ingestion, maintaining the Group Data Catalogue, and collaborating with stakeholders to address data quality issues promptly and effectively. By facilitating source system data quality remediation and coordinating with the data ownership community, you will drive appropriate data quality improvements while prioritising and completing tasks within agreed timeframes. \n What you need to know and show \n As a Metadata & Data Quality Analyst at Sainsbury's, you are a meticulous and analytical professional with a deep understanding of data quality management and metadata analysis. With a focus on improving data quality and ensuring the integrity of the Group Data Catalogue, you possess the expertise to develop and implement data quality triage processes, identify root causes of data quality issues, and drive continuous improvement initiatives. Your ability to prioritise work effectively, collaborate with stakeholders across the organisation, and leverage technology for data cataloguing and profiling makes you a valuable asset in ensuring high-quality data standards and operational efficiency within the company. \n Essential Skills: \n\n • Advanced SQL with hands-on experience in Snowflake, including query optimisation, profiling, and schema management\n, • Hands-on experience with a data catalogue platform (Alation strongly preferred)\n, • Practical experience implementing or operating data quality rules, checks, and triage processes.\n, • Familiarity with data quality tooling (Alation Data Quality / Soda or equivalent).\n, • Understanding of metadata concepts: stewardship, ownership and classification.\n, • Awareness of data governance frameworks and their practical application\n\n Desirable Skills: \n\n • GitHub working knowledge\n, • Python scripting for automation, data quality checks, and pipeline integration\n, • GitHub for version-controlled configuration, pull requests, and CI/CD workflows\n, • Previous experience of creating reporting and visualisations, Power BI or other\n, • Awareness of Data Vault Modelling\n, • Understanding of design and development of data stores, digital solutions and data warehouses and associated toolsets.\n, • Data and information management lifecycles\n, • Knowledge and use of data quality methodologies, approaches, and processes\n, • How to undertake triage, root cause analysis and resolution- Desirable\n, • Understanding of JIRA- Desirable \n, • Understanding of Agile principles- Desirable\n\n Skills and Behaviours \n\n • Own it - takes full accountability for data quality issues through to resolution.\n, • Make it better - identifies opportunities to improve data availability that is trusted.\n, • Be human – Engaging with Senior Engineers and Architects to create standardised processes; builds great working relationships with colleagues (technical and non-technical) and shows care and respect to everyone. \n\n #DataAndAnalytics \n #Analytics \n #LI-CM1 \n We are committed to being a truly inclusive retailer so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new — whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance and you can buy up to an additional week's holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave. Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n We’re entering a once-in-a-company moment: a major step-change in our D2C marketing investment, a full rebrand of the company and product under the Zable brand, and a marketing function being built out at pace under a newly-appointed CMO. This is one of the most exciting marketing builds in UK fintech right now, with the financial strength, customer base, and product depth to back it up. \n Partnerships and sponsorships are a core part of our growth engine going forward, and we’re building the team to power them. We’re looking for a Growth Partnerships Executive to manage day-to-day partner relationships and run sponsorship activations end-to-end. Reporting to a Head of Growth Partnerships we’re hiring in parallel, you’ll be the operator behind every deal, making sure activations land, partners feel looked after, and every pound of partnership spend delivers measurable growth. \n What we're looking for: \n Essential: \n\n • \n 1-2+ years in partnerships, sponsorships, BD or growth roles for a consumer brand \n • \n Track record of running activations end-to-end and delivering measurable results \n • \n Strong account / relationship management skills \n • \n Comfortable with the data, channel economics, attribution and ROI \n • \n Highly organised and detail-oriented, you can run multiple activations in parallel \n • \n Strong commercial communicator, you can hold your own with senior partners \n • \n Demonstrable use of AI in your workflow \n\n Desirable: \n\n • \n Experience in fintech or financial services \n • \n Experience with sport, entertainment, media or large brand sponsorships \n • \n Experience with affiliate, influencer or embedded finance partnerships \n • \n Some deal structuring experience \n\n You’re a good fit if you’re: \n\n • \n A natural relationship-builder, partners trust you, and so does your team \n • \n A strong project manager, you keep things moving and on-budget \n • \n Commercially minded, you measure success in growth, not vanity \n • \n Hands-on and resourceful, you make things happen \n • \n Curious about AI and how it changes the partnerships discipline \n\n What you'll be doing \n Activation: \n\n • \n Run sponsorship and partnership activations end-to-end, brief, plan, ship, measure \n • \n Manage the day-to-day with partners: planning, comms, escalations \n • \n Coordinate across creative, growth, lifecycle and legal \n\n Partner Management: \n\n • \n Own the partner relationship, be the trusted operator they call first \n • \n Manage budgets and timelines across activations \n • \n Spot opportunities to expand existing partnerships \n\n Performance & Optimisation: \n\n • \n Track partnership performance against targets, CAC, LTV, ROI \n • \n Build the playbooks and tooling that scale the function \n • \n Use AI to scale research, brief-writing and reporting \n\n Cross-functional: \n\n • \n Partner with creative on activation assets \n • \n Partner with finance and legal on contracts and accruals \n • \n Report on partnership performance to the Head of Growth Partnerships \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. \n This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape how millions of customers and colleagues experience our products, services and decision making across our retail brands. \n You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools, processes and practices that accelerate the use of artificial intelligence across the organisation. \n Key Accountabilities / Responsibilities: \n\n • Develop machine learning models and support their deployment into production\n, • Write production quality code that is robust, efficient and maintainable\n, • Contribute to the implementation and improvement of pipelines, tooling and automation\n, • Apply good engineering standards and practices in model development\n, • Monitor performance and contribute to ongoing optimisation of models\n, • Work with colleagues to understand requirements and priorities\n, • Share knowledge, contribute ideas and support a collaborative team culture\n\n\n, • Good understanding of computer science fundamentals, including data structures, algorithms and software design\n, • Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning\n, • Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter\n, • Experience working with SQL and data pipelines to prepare and transform data for model training\n, • Understanding of model evaluation, monitoring and improving performance in a production environment\n, • Familiarity with tools and practices for deploying models, ideally including Git, CI workflows and containerisation\n, • Comfortable working with statistical concepts to interpret data and assess model performance\n, • Ability to work collaboratively, communicate clearly and deliver work to agreed outcome\n\n How We Work \n We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average within our Engineering team - 40% of your time involving in-person collaboration. \n We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements. \n What We Offer \n An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits. \n Diversity & Inclusion \n Our customers come from all walks of life - and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-TB1 #LI-HYBRID

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n Lendable is revolutionising the credit card industry by making financial tools accessible, intuitive, and empowering. Zable is a Mobile-App first credit card that empowers customers to build their credit score while meeting their spending and borrowing needs sustainably. \n We’re looking for an analytical, commercially-minded Senior Strategy Analyst to help us grow and scale the product exponentially. This is a dynamic role where you’ll tackle high impact business problems across a number of disciplines including pricing, financial forecasting, growth, credit risk, new product development and product analytics. \n You’ll help us solve our most complex multi-dimensional challenges, working cross-functionally to deliver insight-driven strategies that optimise performance, drive responsible growth, and put the customer at the heart of decision-making. \n You’ll operate in a fast-paced environment where ideas matter more than hierarchy, and execution beats bureaucracy. Your work will directly influence who we serve, how we grow, and how we deliver sustainable value. \n Key Responsibilities \n Drive promotions & pricing strategy: \n\n • \n Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. \n • \n Build deep insight into marketing campaign and conversion funnel performance, identifying opportunities to improve cost and conversion efficiency. \n • \n Stay abreast of industry trends and competitor activity to ensure our products remain fit for purpose. \n\n Financial forecasting & portfolio analytics: \n\n • \n Collaborate closely with the Credit Risk Analytics, Growth and Data Science teams to understand how our products and portfolio are performing at a granular sub-segment level. \n • \n Define key KPIs and develop detailed monitoring to track performance against these goals, and deliver actionable recommendations to improve outcomes. Use strategic analysis to shape and influence broader business strategy. \n\n Evaluate expansion opportunities: \n\n • \n Navigate through ambiguity to assess the feasibility of new product, channel and segment expansion opportunities. \n • \n Create robust commercial assessment frameworks, build tooling where necessary (e.g. RoI or NPV models) and extract data to support these assessments and deliver clear, insight-driven recommendations. \n\n Influence & execution: \n\n • \n Collaborate with stakeholders across Credit Risk, Data Science, Product and Growth to bring your strategies to life. \n • \n Present insights and recommendations to senior leadership - clear, concise, and backed by data. \n • \n Approach every conversation with an open mind, valuing the strength of ideas over ego or hierarchy. \n • \n Ensure your implemented strategies are working as intended once deployed in production, validating outcomes and iterating as needed. \n\n Fast-track your career growth: \n\n • \n Opportunity to mentor and coach more junior graduate analysts, fostering their technical growth and strategic thinking. \n • \n Well defined career progression pathways to Manager/Senior Manager for high performers. \n\n Your experience \n Essential: \n\n • \n 3+ years of experience in an analytics role in any discipline (e.g. Growth, Credit Risk, Product Analytics, Marketing, etc.) \n • \n Proficiency in coding - ideally SQL and Python \n\n Desirable: \n\n • \n Experience in an FCA-regulated financial services firm \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role. \n Our Solutions & AI Lab practice are looking for an experienced Platform Engineering Manager to join the team. \n Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn them into actionable insights and better leverage them through the use of Machine Learning solutions directly embedded into businesses processes. We support clients across a number of industries and offer deep expertise in AI, ML, Cloud and Managed Solutions. \n What you will be doing \n\n • Focus on the hardening of environments and ensuring policies are planned and enforced\n, • Implement and advocate for security best practices in all aspects of the development and deployment lifecycle\n, • Ensure compliance with industry standards and manage risks associated with cloud deployments\n, • Prioritize modularity and the toolchain produced by the platform engineering team to support accelerators and automation\n, • Design, architect, develop, deploy, and evolve CI/CD systems to help our clients transition to cloud-based data analytics platforms (AWS, Azure, GCP) and leverage modern architecture patterns (e.g., APIs, events)\n, • Write and maintain Infrastructure as Code (IaC) and automate application deployment using industry-standard tools and services\n, • Scale the services and toolchain produced by the platform engineering team to support accelerators and automation of configuration improvements\n, • Build reusable, extensible, secure artifacts and drive Cloud and DevOps industry best practices on engineering teams\n, • Design and implement solutions that ensure high availability and disaster recovery\n, • Define and implement monitoring best practices and deploy health check agents\n, • Ensure logging best practices are defined and implemented\n, • Develop and process an alerting strategy to define severity and direct alerts appropriately\n, • Translate business requirements (both functional and non-functional) into a simplified solution, ensuring compliance with the organisations strategy, policies and standards\n, • Create high-level designs and architectures which deliver on the needs of the project\n, • Financial operations and cost optimisations of infrastructure and proposed architecture \n\n Your skills and experience \n\n • Experience in designing, architecting, and deploying CI/CD systems for modern data analytics platforms and modern web applications in the cloud\n, • Skilled in writing Infrastructure as Code (IaC) and automating application deployment using industry standard tools and services\n, • Hands on experience on designing, architecting and implementing security, High Availability, Disaster Recovery and monitoring aspects of cloud solutions.\n, • Competent in at least one popular programming language, such as Python or JavaScript\n, • 5+ years of experience in hands on delivery of devops, platform engineering, solution design, cloud architecture & development\n, • Understanding of how to architect modern solutions in the cloud that are robust and scalable, striving for simplicity and low maintenance\n, • Desire to support and help build internal development platforms and design systems to use as accelerators, using the developer teams as key stakeholders to drive and influence demand and prioritisation\n, • Ability to justify and define best practices and standards, influencing the software development lifecycle policy\n, • Experience of building robust modular CI/CD templates, that centralise and govern responsibility while always challenging raising the bar in quality for the development team\n, • Comfortable to be challenged by other architect/security teams and explain the merits of your proposal \n, • We expect applying candidates to hold or willing to obtain one of the below certifications or better: \n ▪ AWS Associate (Developer, Architect, SysOps) \n ▪ Azure Associate (Developer, Administration) \n ▪ GCP Associate (Cloud Engineer) \n ▪ Hashicorp: Terraform Associate\n

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n Why we think you’ll want to join us \n\n • \n Meaningful team mission with huge global reach: You’ll be fighting money laundering, terrorism financing and human exploitation across Wise’s £145B+ annual cross-border volume. You’ll be working with global regulators and law enforcement across 65+ licenses and 160+ countries. \n • \n Cutting edge tech: You’ll be developing state of the art systems to prevent and detect crime in real time, spanning machine learning, LLMs and anything else your team feels is needed to tackle the problem. \n • \n Product led company: Wise lives and breathes empowerment. Our growth and progress is all down to autonomous product teams investing in what they believe will get us to our mission. You and the team have full authority to decide and the responsibility to get results. \n • \n Learn from experienced product leadership: You’ll work directly with product management veterans who will invest in your growth and development. You’ll report to Susana, work with Gergő and learn from Nilan. \n • \n Beloved products: Imagine every time you tell someone you work at Wise being showered with compliments about how much they love the product. Our most recent Net Promoter Score was 65+, and over 70% of new customers come through “word-of-mouth”. \n\n We’re looking for a Principal Product Manager to join our Anti-Money Laundering (AML) Squad to make a meaningful dent in global financial crime. \n Wise moves £145B+ annually across borders and customers love us for how easy and how cheap it is. You know who else loves moving money cheaply across borders? Criminals looking to launder proceeds of crime. \n This is where you come in. Our vision is clean money without borders. You’ll dive deep into criminal typologies, become an expert in how international crime takes place, and build advanced systems that prevent hyper-targeted, regional, criminal behaviour. \n About the AML Squad \n\n • The AML Squad works across our offices in London and Tallinn. We are growing the Squad, and adding new teams to make faster progress in our fight against crime.\n, • The AML Squad owns all anti-money laundering, terrorism financing and human exploitation typologies and risks. This includes customer risk scoring, risk prevention, live risk detection, investigations and reporting to Financial Intelligence Units across the globe.\n, • As a Squad we currently measure success by two metrics: AML Recall and Cost of Suspicious Activity Report (SAR).\n, • AML Recall measures how much of the crime we actually catch. We want this to be as high as possible, and are rapidly expanding our coverage of hyper specific crime detection in addition to our already strong general model.\n, • Cost of SAR measures how much it costs us to detect, investigate and report a criminal to the relevant authorities. We want this to be as low as possible, and are investing a lot in high precision automation including some cool stuff with LLMs.\n\n Role scope: AML Prevent Group \n\n • The AML Squad is broken down into groups: AML Prevent, AML Detect and Fincrime Intelligence Exchange.\n, • This role sits within the AML Prevent Group. You’ll be the Principal Product Manager for the group. \n, • You might have noticed the above AML Squad metrics are primarily about detection. The preventative focus is a new mission for the squad, and part of the role will include defining and maturing the right metrics to measure success.\n, • You’ll be responsible for setting strategy for the group and supporting an existing Senior Product Manager and Associate Product Manager, either through line management and/or mentoring.\n\n You’ll own the challenge of \n\n • Setting new standards of preventing hyper specific and regional crime at scale, in a way that satisfies our regulatory obligations globally and works financially for our business.\n, • Working with regional compliance officers (known in the industry as the second line of defence) to deliver global controls that have a strong reputation with local regulators and law enforcement.\n, • Working with data scientists, product analysts, product designers, product compliance managers, operations leads and software engineers to ensure the team ship the best possible product. One that maximises money laundering prevention, at the lowest possible operational cost, and minimises good customer friction.\n\n This role will give you the opportunity to \n\n • Choose your own path to success - you’ll have the freedom to define the vision and the responsibility for making it happen\n, • Be flexible in how and where you work, we understand everyone needs a little something different so we’ll do our best to make it happen\n, • Travel to work with our teams in London and Tallinn as well as meet various partners and organisations globally when needed\n, • Inspire teams with your ideas, knowledge and self-starting attitude\n\n Qualifications \n A bit about you: \n\n • You are a seasoned PM who has solved large problems at a scale. \n, • At the Principal PM level we expect at least 6 years of direct product management experience, ideally closer to 10.\n, • You are customer obsessed. You approach every problem from the eyes of the customer. In Anti-Money Laundering, regulators and law enforcement are our “customers”. You need to demonstrate how you apply your user research and empathy skills to build in a way that will make these customers love Wise.\n, • You have direct and extensive experience in building machine learning, LLM or other advanced algorithmic or data heavy products. Bonus points if this was in anti-money laundering, fraud, fincrime, trust and safety or related domains who deal with risk.\n, • Ideally you can go deep with algorithm design and metrics, but also have deep empathy and taste when it comes to the experience of the investigators (or data labellers) who work through the output of the algorithms.\n, • You can use different data points, both qualitative and quantitative, to identify, diagnose and prioritise problems and opportunities to solve them. \n, • You are able to turn a vision into clear, tangible building blocks of a roadmap and have a clear definition of done. \n, • You have extensive experience of working in a cross-functional team of engineers, designers, analysts, data scientists and researchers. \n, • You’re hands on, and you’d do everything needed to make the team and the product successful. You get it done. \n, • You are self driven, you deal well with ambiguity, and you can pave the way for things that have never been done before. \n\n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. \n As an Applied AI ML Director - NLP / LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation. \n Job Responsibilities \n\n • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems\n, • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production\n, • Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business\n, • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community \n \n\n Required qualifications, capabilities, and skills \n\n • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.\n, • Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methods\n, • \n Hands on experience building agentic AI / multi-agent systems within regulated or compliance-driven environments \n • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, with a focus on agentic systems and LLM evaluation\n, • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.\n, • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments\n, • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems\n\n Preferred qualifications, capabilities , and skills: \n\n • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development\n, • Knowledge in graph integration with LLM, Reinforcement Learning or Meta Learning\n, • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code\n, • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal\n\n About MLCOE \n The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning \n For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n We’re seeking a future team member for the role of Senior Specialist, Data Scientist to join our Markets team. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • Lead complex data analysis initiatives using advanced statistical techniques and machine learning models to generate actionable insights that support business strategy and operational efficiency. \n \n, • Partner with cross-functional teams to design and implement data-driven solutions aligned to organizational priorities and business objectives.\n, • Manage and enhance large datasets while ensuring strong data integrity, accuracy, and adherence to data management and governance best practices.\n, • Develop, maintain, and improve predictive models to forecast business trends and provide data-backed strategic recommendations.\n, • Stay current on industry trends and emerging data science technologies to continuously strengthen analytical approaches and innovation.\n, • Communicate findings clearly and effectively to stakeholders across all levels, translating complex analytical outputs into meaningful business actions.\n \n\n To be successful in this role, we’re seeking the following: \n\n • Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field, or the equivalent combination of education and experience required; advanced degree preferred.\n, • Proficiency in programming languages such as Python, or SQL.\n, • Strong analytical and problem-solving skills, with the ability to interpret complex datasets and deliver actionable insights.\n, • Excellent communication skills, with the ability to present data-driven recommendations to both technical and non-technical audiences.\n\n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n We’re looking for a super-smart and ambitious graduate who is not only highly numerate and analytical, but also enthusiastic about building strong relationships and driving meaningful change. Join us to apply your analytical expertise and people skills to help shape the future of our operations and prepare for a path towards Operational Leadership. \n What you'll be doing \n This two-year, full-time programme offers hands-on experience across our core customer-facing Operations teams. It’s an exciting opportunity to immerse yourself in the workings of a fast-growing fintech business, contributing to real projects with measurable impact. With mentorship and leadership support, you’ll develop valuable skills in AI, digital transformation, and process improvement—building a strong foundation for your future as an Operational leader. \n\n • \n Operational Automation & Efficiency: Work on initiatives to improve customer experience, optimise processes, and contribute to operational efficiency. \n • \n Rapid Exposure: Quickly take on significant responsibility and gain exposure to multiple functions across operations - whether through team rotations or high-impact assignments. \n • \n Data-Driven Decision Making: Analyse problems, propose solutions, and drive execution with support from our teams. \n • \n Communication & Delivery: Present findings, ideas, and results to stakeholders, developing your communication and influencing skills. \n • \n Problem-solving: Address complex operational challenges and deliver actionable solutions to our teams. \n • \n Customer-Centricity: Develop a keen understanding of customer needs and be empowered to identify pain points and design seamless, customer-focused processes, ensuring that our operational strategies consistently deliver great customer outcomes. \n • \n Collaboration: Collaborate with our cross-functional Operations teams to deliver tangible, customer-focused projects. \n\n What we're looking for \n\n • \n A graduate with a STEM degree, with evidence of strong analytical thinking, creative problem solving, and quantitative skills. \n • \n Strong interpersonal and communication skills - you enjoy collaborating and building relationships. \n • \n Can demonstrate examples of critical thinking, adaptability, and initiative, ideally through academic, internship, or extracurricular experiences. \n • \n Results-driven and resourceful, with a willingness to learn quickly and embrace new challenges. \n • \n Comfortable with technology, data analysis and curious about fintech, AI, and automation. \n • \n Startup mindset. We’re a fast-growth tech startup so you’ll be super excited to work in an entrepreneurial environment and have a real impact on the business \n • \n You’ll have a natural curiosity and love to dig into things to understand how they work and are eager to drive positive change from day one. \n\n Interview Process \n\n • \n 15-minute online numerical test \n • \n Cognitive Assessment \n • \n In-person case study (30 min) \n • \n In person final stage interview \n\n Compensation \n £40,000 - £45,000 annual salary \n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. \n dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. \n dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. \n We’re looking for a Senior Applied Data Scientist who expects more from their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients. \n Joining our advanced data science team, you’ll be responsible for the ongoing implementation, support and development of complex models and applications, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them. \n Our team works closely with Tesco to solve some of the most interesting and challenging problems in the category management space. We work collaboratively with our client leadership team and with our clients, to build solutions that are re-usable, scalable and deliver measurable value. You’ll drive change, shape innovative solutions, and actively redefine how organizations harness data. \n What we expect from you \n\n • Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field\n, • Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous\n, • Experience with version control tools (e.g. GIT)\n, • Solid understanding of analytical technologies, tools, and techniques\n, • Excellent logical thinking and problem‑solving abilities\n, • Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences\n, • Proven experience in statistical modelling and applying data science solutions to real client problems\n, • A passion for connecting technical work to real customer outcomes, delivering clear and measurable impact\n, • Comfortable building new workstreams from the ground up, including defining direction, structure, and stakeholder alignment\n, • Background in retail analytics (especially exposure to Category Management) is advantageous\n\n What you can expect from us \n We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. \n You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. \n And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. \n Our approach to Flexible Working \n At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. \n We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. \n For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We are looking for a Product Director to own and evolve the internal platform that powers Risk, Compliance, and Financial Operations at Wise. \n As money moves instantly across borders, bad actors move just as fast. The Mitigation Platform Squad is a 30-person, cross-functional organization (spanning three distinct teams) dedicated to building the next generation of our operational infrastructure. \n Your mission is to move our operations from manual review engines to AI-augmented, predictive workflows, ensuring we scale our customer base exponentially without scaling our operational headcount at the same rate. \n What You Will Build & Own: \n You will lead the overarching product strategy for how we collect customer risk data, route tasks, and handle complex financial crime investigations. Specifically, your squad focuses on three core pillars: \n\n • The 360° Customer Data Engine: Revolutionize how we collect, ingest, and synthesize customer information. You will build frameworks that aggregate complex data points into a unified, real-time risk profile, giving analysts instant context without the hunt.\n, • Intelligent Case Handling & Workflows: Own the end-to-end case management experience. You will build flexible, customizable workflow engines that empower operational teams to design, test, and deploy new compliance rules and investigation paths accelerating our time-to-market against new threat vectors.\n, • The AI & Automation Foundation: Set the architectural and product blueprint for augmenting human intelligence. You will integrate machine learning, LLMs, and smart automation into the daily workflow of analysts—from automated data summarization and predictive task routing to AI "copilots" that draft investigation summaries and highlight anomalies.\n\n Key Responsibilities \n\n • Lead a 30-Person Multi-Team Squad: Provide strategic vision, product coaching, and execution leadership to three cross-functional teams of engineers, designers, and analysts.\n, • Pioneer AI-Augmented Operations: Identify high-friction manual processes in KYC, EDD (Enhanced Due Diligence), and fraud investigation, partnering with Data Science to deploy automated decisioning and generative AI assistance.\n, • Unify the Operational Stack: Oversee the consolidation of fragmented tooling into a seamless, cohesive platform, standardizing core risk, quality assurance (QA), and workforce management (WFM) processes globally.\n, • Drive Cross-Functional Alignment: Act as the primary bridge between global product teams, compliance officers, and operational floor managers, ensuring platform improvements directly drop our cost of servicing.\n, • Operate as a Player-Coach: Seamlessly zoom out to set a 2-year platform vision, and zoom in to unblock technical architectural decisions or analyze operational workflow bottlenecks.\n\n Qualifications \n What We’re Looking For \n\n • Platform & Scale Experience: You have built and scaled complex platforms, internal operating systems, or B2B SaaS products supporting thousands of daily active users or millions of end-consumers. You understand the intricate architecture required for high-availability, low-latency workflows.\n, • AI & Automation Intuition: You don't need to be a machine learning engineer, but you know how to productize data science. You look at a manual operational workflow and immediately see how smart heuristics, predictive models, or LLM summarization can 10x human output.\n, • Proven People Leadership: You have experience hiring, onboarding, and mentoring Product Managers (both ICs and Leads). You know how to build a high-context, autonomous culture across multiple distributed sub-teams.\n, • Relentlessly Data-Driven: You self-serve with SQL/data tools to uncover operational bottlenecks, quantify friction, and measure the ROI of automation. You tell compelling stories with data to rally engineering and compliance around a shared metric.\n, • Consumer-Grade Mindset for Internal Tools: You reject the idea that internal operational tools should be clunky or slow. You care deeply about UX, design, and developer/analyst ergonomics.\n\n Additional Information \n We’re people without borders — without judgment or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in. Where and what you studied isn't important to us. If you’ve got great experience, the right skills for the role, and you’re great at articulating your thinking, we’d like to hear from you. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We are seeking a talented Lead Data Scientist with expertise in Liquidity management modelling to join our dynamic Treasury team. This role focuses on driving our models and optimising their impact on our liquidity usage. \n Your work will have a direct impact on Wise’s mission and millions of our customers. \n About the Role: \n As part of the team, you’ll be at the forefront of designing, implementing, and refining models that forecast and manage liquidity, and influencing decision-making processes across the organisation. Your mission is to help us have enough cash in the right place at the right time and make sure we keep the liquidity risk under control. You will work closely with cross-functional teams to develop data-driven solutions that enhance our liquidity management and operational efficiency. \n Here’s how you’ll be contributing: \n Liquidity management \n\n • \n Work closely with Treasury operations to develop supply and demand forecasts and incorporate them into the real-time money movement processes across a multi-region portfolio of products and currencies. \n • \n Conduct rigorous data analysis to support liquidity efficiency initiatives, ensuring a balance between sufficiency and excess. \n • \n Collaborate with engineering teams to implement models within the treasury's operational backoffice, ensuring scalability and operational efficiency. \n • \n Develop bespoke models and analyses in preparation for stress events and new product launches \n\n Liquidity Risk modelling and analysis \n\n • \n Develop models and infrastructure for understanding liquidity consumption by company’s products. \n • \n Partner with product and operational teams to translate complex liquidity risk scenarios into actionable insights for customer-focused solutions. \n • \n Document and present model results and risk assessments to senior stakeholders, controllers and the Risk team (the second line of defence). Explain complex concepts and propose strategies that align with the company’s risk appetite and business objectives. \n\n A bit about you: \n\n • \n Strong Python knowledge. Ability to read through code. \n Demonstrable experience collaborating with engineers. \n • \n Experience with big data technologies such as Hadoop, Spark, or similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. \n • \n Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation. \n • \n A strong product mindset with the ability to operate autonomously while working in a cross-functional and cross-team environment. \n • \n Good communication skills and ability to get the point across to non-technical individuals. \n • \n Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them. \n\n Some extra skills that are great (but not essential): \n\n • \n Experience in supply/demand modelling and forecasting — could be in supply chain optimisation or liquidity management in a financial company. \n\n Key benefits: \n\n • \n Stock options in a profitable company \n • \n Hybrid working model - whether it’s working from home, working overseas, school plays or life admin we get that flexibility is essential \n • \n Annual personal development budget - whether it’s for books, courses, or conferences \n • \n Visa and relocation support \n\n You can read more about our full benefits package here... \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role. \n What you will be doing \n\n • Defining and implementing Machine Learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance\n, • Establishing and developing ML Ops frameworks and standards for clients and embedding within their infrastructure\n, • Working with clients to take them on the journey, upskilling along the way and ensuring they are kept in the loop and can take ownership after you roll off the project\n, • Performing maturity assessments across clients’ Cloud/AI environments and recommending improvements\n, • Building ML strategy blueprints and advising clients on the different technology options\n, • Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisations strategy, policies and standards and in some cases, help customers to define new policies, philosophies and standards\n, • Helping clients to identify risks and mitigations for their ML and DS programmes, as well as transition from on-prem to modern cloud-based infrastructures (AWS, Azure, GCP)\n, • Working with clients in key areas of ML model governance, such as in defining philosophies including fairness, transparency, interpretability, and accountability\n\n Your skills and experience \n We are seeking passionate and dynamic ML engineers who are excited by building production ML solutions, and keen to take an active part in the growth of the company. We’re looking for people who can both advise our clients and get hands on in technical delivery to bring a solution to life. \n\n • Passionate person who is excited by problems within machine learning and can bring a good mix of technical delivery and core consulting skills in client engagements\n, • Advanced degree in computer science, mathematics, physics, engineering or related STEM field\n, • Strong problem-solving skills and solid grounding in classical ML and deep learning: from applied statistics and traditional machine learning algorithms to transformers and SOTA deep learning\n, • Excellent collaboration and communication skills, both with teams and in client-facing engagements\n, • Interested in building AI applications, ranging from forecasting tools to image recognition applications and LLM-based chatbots and agents\n, • Proven ability to build machine learning models and pipelines using Python and common ML and DL libraries (e.g. Pytorch, Tensorflow) from early conceptualisation to full deployment in scalable production environments\n, • Ability to design, deploy and maintain ML solutions on modern frameworks to meet functional business requirements, adhering to software engineering best practices and with exposure to version control, testing, MLOps, CI/CD and API design\n, • Hands on experience in using one of 3 major cloud technologies (AWS, Azure or GCP) in a production environment, as well as ML platforms (e.g., AWS Sagemaker, Azure Machine Learning studio)\n, • Be a ‘lifelong learner’ and can demonstrate a drive to always be learning and developing your skillsets and develop the skillsets of others around you\n

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About the role: We are looking for an IC3 Machine Learning Engineer to join our Risk ML and Intelligence team. In this role, you will be key to enabling the building of our machine learning models by focusing on the label side, building the integrity layer for our label platform. \n Every machine learning model at Wise learns from two core components: features (user signals) and labels (historical tags for activity like money laundering or fraud). If our labels are inaccurate, our models learn the wrong behavior. You will be responsible for label side quality, label monitoring, statistical integrity, and designing robust audit processes to ensure our ML infrastructure learns from clean, reliable data. \n How we work: At Wise, we operate with autonomous, cross-functional teams that put the customer first. We believe strong engineers can learn and adapt across tech stacks, so our interview and pair programming evaluations are language-agnostic (focused on Python or Java), allowing you to solve complex technical problems in the environment you are most comfortable with. \n What will you be working on?: \n\n • \n Building, scaling, and maintaining the integrity layer of our label platform for Risk ML models. \n • \n Defining, implementing, and monitoring statistical fundamentals and key quality metrics for data and labels. \n • \n Designing automated audit processes to evaluate and monitor label quality over time. \n • \n Working end-to-end on machine learning model training, evaluation, and pipeline deployment. \n • \n Collaborating closely with cross-functional partners across Risk Intelligence, Data Engineering, and Product. \n\n Qualifications \n What do you need?: \n\n • \n Education: A degree in STEM (Computer Science, Mathematics, Statistics, Physics, Chemistry, Electrical Engineering, or a related quantitative field). \n • \n Statistical Integrity: Strong mathematical and statistical fundamentals with a proven track record of applying statistical analysis to complex data environments. \n • \n ML Lifecycle Expertise: Hands-on experience working across model training, evaluation, and deployment (utilizing frameworks around Machine Learning, AI, Neural Networks, or NLP). \n • \n Programming Skills: Strong proficiency in Python or Java for data scripting and production engineering, alongside advanced SQL capability. \n • \n Data Fundamentals: Solid hands-on experience building static data pipelines, conducting deep-dive data analysis, and using data visualization tools to understand statistical behavior. \n\n Nice to Have: \n\n • \n Proven success in competitive machine learning environments or platforms (e.g., Kaggle, KDD competitions, or Google Summer of Code / GSoC). \n • \n Experience with specialized ML architectures such as Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), or Transformers/LSTMs. \n • \n Familiarity with real-time streaming data pipelines (e.g., Kafka). \n • \n Domain experience within Fintech, E-commerce, or fast-scaling tech companies. \n\n Additional Information \n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £111,000 - £145,000 + stock equity grants (RSUs vesting over 4 years) + benefits. \n • \n Wise Benefits \n\n Interested in more than one role? If you're interested in multiple roles, please apply for just one—the one you're most excited about. If you submit multiple applications requiring the same assessment, we'll continue your recruitment journey using your first application, and any duplicate applications will be automatically closed. This helps ensure a fair and consistent interview process. If another role feels like a better fit, you can discuss this with your recruiter during the process. \n #LI-AB3 #LI-Hybrid \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We’re looking for a technical Lead Data Scientist (IC3) to join our growing KYC (Know Your Customer) and Onboarding Team in London. \n This role is a unique opportunity to understand the customer onboarding & Know Your Customer domain, how we mitigate risk leveraging data science techniques, and at the same time how to provide our customers with the seamless experience they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers. \n About the Role: \n Our verification team is responsible for the processes related to KYC (Know Your Customer) checks performed on consumers and businesses during onboarding. Within the team, our data scientists implement machine learning models and systems that support Document verification. \n We are looking for someone to own training, iteration, and management of our machine learning models’ life cycle, and be responsible for the overall training, testing, model performance analysis, and research further modifications to our KYC systems. \n Here’s how you’ll be contributing: \n\n • \n Actively participate in planning and ideation of data science projects in collaboration with integrated cross-functional teams \n • \n Uncover opportunities and provide expertise on applying machine learning/data science techniques \n • \n Clearly articulate the value, limitations, and potential impact of data science initiatives to stakeholders with diverse levels of understanding \n • \n Manage and create large image and tabular datasets related to KYC processes \n • \n Iterate on our deep learning image models \n • \n Measure and optimise performance of our machine learning models \n • \n Maintain and develop a large Python codebase with industry-standard best practices \n • \n Keep up-to-date with the rapidly developing field of machine learning and research how to incorporate new ideas on systems that benefit our customers directly in production \n • \n Research the domain of Document verification to learn the best ways to prevent criminal activity \n • \n Provide mentorship to junior team members, promoting their growth in data science skills and adherence to industry standards \n\n Office: London, UK (Hybrid) \n Salary range: GBP 90.5K-127K yearly gross based on experience and interview outcomes* \n Key benefits: \n\n • \n Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible \n • \n Stock options in a profitable company \n • \n Relocation support \n • \n Generous parental leave \n • \n Pension scheme \n • \n Paid sabbatical \n • \n Loads of development opportunities \n • \n Sports and wellbeing compensation \n • \n A fun work environment with social activities and events \n • \n The opportunity to work with super smart, curious people \n\n Additional Information \n We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in. \n Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you. \n And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram. \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n We’re entering a once-in-a-company moment: a major step-change in our D2C marketing investment, a full rebrand of the company and product under the Zable brand, and a marketing function being built out at pace under a newly-appointed CMO. This is one of the most exciting marketing builds in UK fintech right now, with the financial strength, customer base, and product depth to back it up. \n We’re building out our SEO function for the first time and need a strong technical operator to make our sites the fastest, cleanest and most crawlable in UK fintech. We’re looking for a Senior Technical SEO to own technical SEO across Zable. Reporting to a Head of SEO we’re hiring in parallel, you’ll partner with engineering and product to ship the work that unlocks compounding organic growth, site architecture, performance, schema, indexation and AI search readiness. \n This role goes beyond traditional technical SEO. Some of our biggest organic opportunities will come from building SEO-led product surfaces, calculators, comparison tools, interactive guides, and more ambitious full-stack products designed to capture high-volume search demand. You'll scope, ship and continuously improve those builds, bringing the SEO lens to every launch and helping us decide where the biggest organic bets are worth a product investment, not just a content one. In order to do this you will have strong technical and AI capabilities, enabling you to take a product from plan to brief to design and from build to launch with a high level of autonomy. \n What we're looking for: \n Essential: \n\n • \n 4+ years in technical SEO, with hands-on ownership of audits, fixes and shipped impact \n • \n Strong understanding of site architecture, internal linking, crawl budget and indexation \n • \n Confident with performance, Core Web Vitals, page speed, JS rendering \n • \n Experienced with structured data and schema (especially product, financial, FAQ) \n • \n Comfortable with crawlers (Screaming Frog, Sitebulb), log file analysis and rendering tools \n • \n Experience building product with assistance from AI tools, SEO-led product launches or programmatic content systems \n • \n A nose for spotting search opportunities that warrant a product build, not just a content piece \n • \n Demonstrable use of AI in your technical SEO workflow \n\n Desirable: \n\n • \n Experience with Next.js, React or other JS-rendered sites \n • \n Experience optimising for AI Overviews and LLM-driven search \n • \n Experience with international or multi-domain SEO \n • \n Some content / on-page SEO abilities \n\n You’re a good fit if you’re: \n\n • \n Detail-obsessed and rigorous, you don't mistake activity for impact \n • \n A strong communicator, you can earn trust and shape the roadmap \n • \n Pragmatic about quick wins vs. long-term foundations \n • \n As excited about building new things as you are about optimising existing ones \n • \n Excited about how AI search is changing the technical SEO landscape \n\n What you'll be doing \n Technical Foundations: \n\n • \n Run continuous technical audits across all our sites \n • \n Own the technical SEO roadmap, prioritised, scoped and shipped \n • \n Partner with engineering and product to land the work \n\n Performance & Crawl: \n\n • \n Drive Core Web Vitals and page speed improvements \n • \n Manage indexation, crawl budget and rendering across our domains \n • \n Implement and maintain structured data and schema \n\n SEO Product & Programmatic: \n\n • \n Plan and lead SEO-led product launches, calculators, comparison tools, interactive guides and full-stack content products \n • \n Help identify high-volume, high-intent search opportunities that warrant a product build, not just a page \n • \n Own the SEO requirements for every launch, site architecture, schema, internal linking, indexation strategy \n • \n Support programmatic content and page-template strategies that scale to long-tail demand \n • \n Measure post-launch organic performance and feed learnings back into the product roadmap \n\n Tooling & Reporting: \n\n • \n Own our technical SEO tooling stack, crawlers, log file tools, monitoring \n • \n Build dashboards and alerting on technical health \n • \n Run regular reporting to the Head of SEO and CMO \n\n AI Search Readiness: \n\n • \n Lead our technical preparation for AI search (entity optimisation, structured data, content access) \n • \n Use AI to scale audit, monitoring and brief-writing \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Solirius Reply to connect them with exceptional professionals for this role. \n Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs. \n It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. \n We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. \n About You: \n You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values. \n \n The Role: \n We are looking for an experienced Data Engineer to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts. \n You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. \n Requirements \n Key Responsibilities: \n\n • Develop Data Engineering solutions for our clients/projects \n, • Design and build data models, schemas to support business requirements\n, • Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc.\n, • Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based.\n, • Working collaboratively with the client and cross-functional teams to identify and address data-related issues and opportunities. \n, • Stay updated with the latest trends and developments in the data engineering field, such as modern data stack, big data technologies, cloud computing, etc.\n\n \n Key Skills/Experience: \n\n • Experience in operating as part of data engineering teams and independently. \n, • Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) \n, • SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) \n, • You have framework experience within either Flask, Tornado or Django, Docker \n, • Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo \n, • Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc.\n, • Data acquisition and development of data sets and improving data quality \n, • Preparing data for predictive and prescriptive modelling \n, • Reporting tools (e.g. Tableau, PowerBI, Qlik) \n, • GDPR and Government Service Standard (desirable) \n, • Passionate, motivated and enthusiastic about developing technology solutions. \n, • Experience working in an Agile development environment\n\n Benefits \n Package and Benefits: \n\n • Competitive Salary\n, • Bonus Scheme\n, • Private Healthcare Insurance\n, • 25 Days Annual Leave + Bank Holidays\n, • Up to 10 days allocated for development training per year\n, • Enhanced Parental Leave\n, • Paid Fertility Leave (5 Days)\n, • Statutory & Contributory Pension\n, • EAP with Help@Hand\n, • Gym Membership Benefits\n, • Flexible Working\n, • Annual Away Days/Company Socials\n\n \n Equality & Diversity: \n Solirius Consulting is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. \n Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

hackajob is collaborating with Solirius Reply to connect them with exceptional professionals for this role. \n Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs. \n It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. \n We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. \n About You: \n You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values. \n \n The Role: \n We are looking for an experienced Senior Data Engineer to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts. \n You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. \n Requirements \n Key Responsibilities: \n\n • Develop Data Engineering solutions for our clients/projects\n, • Design and build data models, schemas to support business requirements\n, • Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc.\n, • Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based.\n, • Working collaboratively with the client and cross-functional teams to identify and address data-related issues and opportunities.\n, • Stay updated with the latest trends and developments in the data engineering field, such as modern data stack, big data technologies, cloud computing, etc\n, • Assist with defining the processes needed to achieve operational excellence\n, • Ensure data quality across all projects/clients\n, • Define and manage SLA’s for data sets and processes throughout production\n, • Lead on the design, build and launch of new data models and pipelines\n\n \n Key Skills/Experience: \n\n • Experience in operating as part of data engineering teams and independently.\n, • Line/Team management experience, leadership experience\n, • Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial)\n, • SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL)\n, • You have framework experience within either Flask, Tornado or Django, Docker\n, • Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo\n, • Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc.\n, • Data acquisition and development of data sets and improving data quality\n, • Preparing data for predictive and prescriptive modelling\n, • Hands on coding experience, such as Python\n, • Reporting tools (e.g. Tableau, PowerBI, Qlik)\n, • GDPR and Government Service Standard (desirable)\n, • Passionate, motivated and enthusiastic about developing technology solutions.\n, • Experience working in an Agile development environment\n, • Data architecture experience.\n\n Benefits \n Package and Benefits: \n\n • Competitive Salary\n, • Bonus Scheme\n, • Private Healthcare Insurance\n, • 25 Days Annual Leave + Bank Holidays\n, • Up to 10 days allocated for development training per year\n, • Enhanced Parental Leave\n, • Paid Fertility Leave (5 Days)\n, • Statutory & Contributory Pension\n, • EAP with Help@Hand\n, • Gym Membership Benefits\n, • Flexible Working\n, • Annual Away Days/Company Socials\n\n \n Equality & Diversity: \n Solirius Consulting is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. \n Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us. \n \n \n \n

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n We’re entering a once-in-a-company moment: a major step-change in our D2C marketing investment, a full rebrand of the company and product under the Zable brand, and a marketing function being built out at pace under a newly-appointed CMO. This is one of the most exciting marketing builds in UK fintech right now, with the financial strength, customer base, and product depth to back it up. \n We’re looking for a Creative Designer to join our growing creative pod and produce best-in-class brand and campaign work across Zable. You’ll have significant scope to shape how the brand looks and feels in the market — from rebrand applications through to large-scale campaigns. \n What we're looking for \n Essential: \n\n • \n 4+ years as a creative or brand designer, ideally for a consumer brand or in a top creative agency \n • \n A portfolio that shows strong typographic, layout and conceptual thinking — not just template execution \n • \n Confident across brand identity, campaign, social, OOH, print and digital \n • \n Strong attention to detail and ability to maintain brand consistency at scale \n • \n Comfortable working from briefs and turning rough ideas into shippable concepts \n • \n Demonstrable use of AI tools in your design workflow \n\n Desirable: \n\n • \n Motion and video skills (After Effects, Figma motion, modern AI motion tools) \n • \n Experience contributing to a rebrand or new brand launch \n • \n Experience designing for performance / growth marketing \n • \n Familiarity with creative testing frameworks \n\n You’re a good fit if you’re \n\n • \n Brand-obsessed, you sweat the kerning and the concept \n • \n Versatile, you can move between brand purity and performance pragmatism \n • \n Collaborative, you give and take feedback well \n • \n Self-motivated, you take a brief and run with it \n • \n Curious about AI and how it changes design \n\n What you'll be doing \n Production & Iteration: \n\n • \n Scale creative output across paid channels \n • \n Produce variations to support creative testing and learning \n • \n Iterate based on performance data and team feedback \n\n Brand & Campaign Design: \n\n • \n Design brand and campaign assets across Zable \n • \n Contribute to the rebrand workstream including visual exploration, system development, applications \n • \n Produce high-quality work for OOH, social, paid, lifecycle and BTL \n\n Brand Stewardship: \n\n • \n Maintain visual consistency across all marketing materials \n • \n Own creative QA on assets before launch including regulatory text, formats, exports \n • \n Build and maintain templates, design systems and asset libraries \n\n Collaboration & AI: \n\n • \n Work closely with the Head of Creative, growth, and product design teams \n • \n Use AI tools to increase the speed and quality of your work \n • \n Contribute ideas to creative direction and experimentation \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us in shaping the future of AI at JPMorganChase, where you can make a real impact by building autonomous agents that solve critical challenges. We value your expertise and encourage you to pioneer new approaches, bridging theory and practice while collaborating with talented teams across the globe to help define how AI transforms the world's largest bank. Experience career growth, mentorship, and the excitement of building next-generation solutions. \n We're developing an AI platform and desktop application that helps users automate their document processing workflows at the world's biggest bank, already operating at hundreds of documents per second and doubling every three months, leveraging agentic systems that are powerful, truly generalizable, and scalable while maintaining security in a highly sensitive enterprise environment. \n As a Machine Learning Engineer in the Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, you will design and deliver production architectures for AI-powered products and services, working at the intersection of software engineering and scientific research to translate innovative ideas into scalable enterprise solutions. You will collaborate with cloud and SRE teams in a role that offers flexibility for individual contributors and optional management responsibilities, depending on your interests and experience. You will help shape the team culture and drive impactful change. \n Job Responsibilities: \n\n • Design and deliver enterprise-grade machine learning systems\n, • Collaborate with cloud and SRE teams to build robust production architectures\n, • Translate scientific research into scalable ML solutions\n, • Develop and deploy business-critical, data-intensive applications\n, • Implement distributed, multi-threaded, and scalable applications\n, • Build, test, and deploy automated pipelines for ML solutions\n, • Leverage foundational libraries and services for re-use across teams\n, • Apply best practices in software engineering and computer science\n, • Utilize MLOps tools for versioning, reproducibility, and observability\n, • Align ML problem definitions with business objectives\n, • Mentor and support team members, with optional management responsibilities\n\n Required Qualifications, Capabilities, and Skills: \n\n • Experience in machine learning engineering roles\n, • Degree in a quantitative discipline (Computer Science, Mathematics, Statistics)\n, • Proven ability to develop and deploy business-critical, data-intensive applications\n, • Extensive experience with AWS and Kubernetes\n, • Proficiency with lower-level libraries such as PyTorch and NumPy\n, • Hands-on experience implementing distributed, multi-threaded, and scalable applications\n, • Experience with automated building, testing, and deployment pipelines\n, • Familiarity with higher-level interfaces like Pydantic AI and Langraph\n, • Strong understanding of computer science fundamentals and development best practices\n, • Broad knowledge of MLOps tooling for versioning, reproducibility, and observability\n, • Ability to understand business objectives and align ML problem definitions\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience mentoring or leading teams\n, • Knowledge of agentic AI concepts\n, • Experience designing reusable libraries and services\n, • Interest in bridging scientific theory and enterprise-grade systems\n, • Passion for innovation and continuous learning\n\n Why Join Us? \n You will be part of a pioneering team that is transforming banking with AI. We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. \n Project Contractor \n Project Contractor \n Summary \n Contract role to design and deliver a proof-of-concept knowledge graph modeling investment fund data for one of the world's largest asset managers. You will encode business rules, regulatory constraints, and identifier relationships as machine-readable ontologies — directly eliminating manual fund data processes and enabling automated validation across thousands of funds in 6 global markets. Defined POC scope, executive sponsorship, and weekly technical guidance from two of the most recognized knowledge graph practitioners in financial services. \n What You'll Deliver (POC Scope) \n An investment fund ontology (OWL 2 / RDF / Linked Data) modeling the product hierarchy: Fund > ShareClass > Listing > Security, with 73+ identifier types (ISIN, SEDOL, CUSIP, LEI, Bloomberg, and more) governed across US, UK, Ireland, Australia, Canada, and Mexico \n SHACL validation shapes encoding business rules as executable constraints — e.g., "A US-domiciled ETF listing must have a valid ISIN" — that flag violations at fund launch and throughout the fund lifecycle \n SKOS concept schemes harmonizing vocabulary across 8+ internal systems, providing a semantic bridge between source-of-record platforms \n Data integration pipelines mapping relational data into RDF triples (Turtle/N-Quads) using R2RML, rdflib, or equivalent mapping tooling \n API layer enabling downstream applications to consume graph data programmatically \n Automated governance reports surfacing data quality gaps, missing identifiers, and cross-system inconsistencies \n Required Skills \n 5+ years hands-on experience building and deploying RDF/OWL ontologies in production (not solely academic — you have shipped something real) \n SHACL for constraint validation, data quality enforcement, and shape-based governance \n SPARQL 1.1 — fluent in complex queries, property paths, and federated queries \n At least one enterprise triple store / graph platform: TopBraid, GraphDB (Ontotext), Stardog, RDFox, Amazon Neptune (RDF mode), or equivalent \n Python or Java for data transformation, pipeline orchestration, and integration work \n Familiarity with financial or securities identifiers (ISIN, SEDOL, CUSIP, LEI, or similar instrument identification schemes) — you don't need to be a fund accountant, but you need to understand what an identifier is and why it matters \n Working knowledge of data governance — you understand why constraints exist, not just how to code them \n Preferred Experience \n Financial services domain: fund data, securities master, regulatory compliance (MiFID, UCITS, listing rules) \n FIBO (Financial Industry Business Ontology) or similar financial ontologies \n TopBraid EDG / GraphWise (our target platform — evaluation input from this hire is welcome) \n SKOS for vocabulary management and cross-system term harmonization \n R2RML / RML or equivalent relational-to-RDF mapping standards \n Ontology design patterns, modular schema design, ontology versioning (Git-based workflows) \n Enterprise-scale data modeling (thousands of entities, multi-market, multi-product-type) \n Exposure to rules engines, inference, or deterministic AI (SHACL-based reasoning, business rules automation) \n Agile delivery in a regulated environment \n How We Work \n Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n We’re looking for a Product Manager to help shape and grow the UK Cards product. \n This is not a traditional PM role focused on roadmap management, stakeholder coordination or writing tickets. We are looking for someone who thinks like an owner and operates like a builder. \n You should be someone who naturally questions how things work, challenges assumptions and looks for practical ways to improve the product. \n You will work closely with engineering, operations, data, finance and commercial teams to identify problems, validate opportunities and drive execution across the Cards business. The role combines product thinking, experimentation, problem solving and AI tooling. \n If you are excited by fintech, lending and building products in a fast moving environment, this role offers significant ownership and impact. \n What you'll be doing \n This role will cover a broad range of work across the UK Cards product. \n\n • \n Driving product and growth initiatives \n\n You will identify opportunities to improve customer experience, engagement, conversion and business performance. \n Examples include: \n\n • \n Designing and running experiments across acquisition, onboarding, engagement and retention \n • \n Improving customer journeys, product features and servicing experiences \n • \n Using data and customer insights to prioritise product opportunities \n • \n Defining MVPs and validating ideas before committing engineering resources \n • \n Working closely with engineering teams to deliver high impact improvements \n\n\n • \n Building operational leverage and AI-enabled workflows \n\n We want someone who actively looks for smarter and more scalable ways to work. \n Examples include: \n\n • \n Improving internal tooling and operational workflows \n • \n Driving adoption of AI tools across the team (Claude, Cursor and other emerging tooling) \n • \n Supporting development of AI-powered customer support and servicing \n • \n Automating manual operational processes where possible \n • \n Helping teams make faster and better decisions through better workflows \n\n\n • \n Owning cross functional problem solving \n\n The role requires operating across product, operations, finance, capital markets and customer servicing. \n Examples include: \n\n • \n Identifying operational bottlenecks and driving improvements \n • \n Coordinating complex initiatives across multiple teams \n • \n Translating ambiguous business problems into impactful plans \n • \n Balancing customer outcomes with commercial and operational constraints \n\n A core part of the role is continuously challenging how things are done today and helping the organisation operate in simpler, faster and more effective ways. \n Who this role is for \n This role is designed for someone who wants significant ownership and enjoys solving hard problems in fast moving environments. \n Typical profile \n\n • \n 4+ years of experience in product, strategy, consulting, analytics or startup environments \n • \n Experience owning products or growth initiatives \n • \n Strong interest in fintech, lending and technology \n • \n Comfortable working across both strategy and execution \n • \n Curious about AI and how new tools can improve product development \n • \n Interested in building and scaling products with real business impact \n\n You should be someone who \n\n • \n Thinks from first principles rather than accepting how things currently work \n • \n Challenges assumptions and asks high quality questions \n • \n Enjoys solving ambiguous and messy problems \n • \n Uses data confidently to make decisions \n • \n Moves quickly and tests ideas pragmatically \n • \n Is highly ownership and execution focused \n • \n Can operate independently with broad direction \n • \n Communicates clearly across technical and non technical teams \n • \n Is comfortable switching between product, operational and commercial contexts \n\n Why this role is interesting \n You will get exposure to: \n\n • \n How consumer lending and credit cards work in practice \n • \n Building and scaling one of the UK’s most successful fintech products \n • \n Product-led growth and experimentation \n • \n AI tooling and automation inside a real product organisation \n • \n The operational and commercial side of running a fintech business \n • \n Cross functional decision making across product, finance, operations and risk \n\n You will work closely with senior members of the Cards team and have the opportunity to own meaningful, business critical initiatives with significant autonomy. \n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n We’re looking for a strategic, data-driven Commercial Partnerships Associate to join the Growth team at Lendable. Focused on Zable’s upcoming new products including car insurance and mobile, you’ll play a central role in go to market of these products on price comparison websites, building the partner relationships that drive customer acquisition, and delivering analytics to guide product development. \n You don't need a background in partnerships or financial services, we care far more about how you think, how numerical you are, and whether you're genuinely curious about problems. You'll combine data analysis with external relationship management, take real ownership from early on, and work closely with Product, Data and Credit teams to deliver results in a fast-moving launch environment. You’ll be embedded within the growth team and will work closely with different teams at Lendable while being trusted to drive growth initiatives and handle your own projects independently. \n Team objectives \n\n • \n We are responsible for the growth of all Lendable and Zable products, delivering projects via our price comparison site partnerships or directly into the market. \n • \n The team asks ‘where are new customers?’, ‘what can I improve with my current channels’ conversion?’, ‘what are competitors doing on marketplaces?’, ‘Am I risking negative selection?’, ‘what is the next product or innovation to develop?’, and ‘Are my unit economics working?’. \n\n What you’ll be working on \n\n • \n You will own the launch of Zable car insurance and mobile on price comparison websites - from initial partner conversations through to integration, go live and on-going optimisation \n • \n Once live, take responsibility for channel performance: tracking volume, conversion and cost of acquisition at the partner level, identifying what’s driving changes and what to do about them \n • \n You will manage partner relationships across strategic and day-to-day activity, balancing focus on large strategic partners with incubating new exciting ideas and holding partners accountable to delivery milestones. \n • \n Prepare analysis to support commercial decisions: pulling the right data, forming a clear point of view, and presenting it in a way to keep moving forward \n • \n You will be trusted to negotiate customer acquisition costs and commissions with key partners, identifying areas for cost optimisations. \n • \n Work cross functionally with Product, Pricing, Data and Compliance to scope integrations, complete due diligence on new partners and drive projects forward \n • \n Keep track of what’s happening in mobile and insurance partner markets - new entrants, product changes, competitor moves - and bring those insights to internal discussions \n • \n The role progression includes gradually owning the full responsibility for strategy and execution of specific partner projects, marketing efforts or product enhancements that deliver business growth. \n\n Your experience \n\n • \n 2-3+ years’ experience in a commercial, consultancy, partnerships, analytical, business development, or account management role; ideally within financial services or a high-growth tech environment. \n • \n Highly numerate and analytical, proficient in manipulating and visualising data in AI-assisted SQL / Python, and using commercial modelling to inform decisions. \n • \n Strong communicator able to represent Lendable externally and build trusted relationships internally and externally. \n • \n Demonstrably uses AI tools to work better, whether that's automating repetitive tasks, speeding up analysis, improving written output, or finding faster routes to answers. We don't care which tools; we care that you've genuinely changed how you work because of them, not just experimented once or twice. \n • \n Outcome-driven and proactive: skilled at prioritising, independently driving projects, and managing work to deliver high-value results. \n • \n Comfortable contributing to a collaborative team, while thriving in a role where your individual performance and impact are directly visible. \n\n What does success look like 6 months after joining? \n\n • \n You’ve launched Zable non credit products on price comparison websites, and are starting to generate volume \n • \n Formed strong working relationships with all of our key partners, placing Zable as the partner of choice for all analytics or innovation collaborations. \n • \n You are assessing new partnership opportunities on a regular basis, have a clear view on the partner pipeline and are acting on ones that deliver tangible value to the business. \n • \n Ownership of the customer acquisition funnel at the individual partner level; identifying changes in funnel dynamics and attributing them at pace, sharing insights with Risk, Pricing and Product teams to inform wider acquisition strategy \n • \n First line ownership of due diligence checks and ongoing compliance monitoring of Lendable partners through dedicated diligence exercises and mystery shopping. \n\n Interview process \n\n • \n 30-min introductory call with Talent team \n • \n 15min cognitive test \n • \n 60min in-person case study exercise with Head of Partnerships \n • \n Final round (in-person or virtual): \n \n • \n Head of Partnerships \n • \n Commercial MD and Insurance or Mobile MDs \n \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That’s right, we’re big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that’s where you come in. \n At Kingfisher, our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation. \n We are open to flexible and agile working hours and locations. Therefore, we offer colleagues a blend of working from home and our offices. Talk to us about how we can best support you! \n We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data science algorithms, while building, leading, nurturing and retaining a high performing data science team working on banner as well as group priorities. \n\n • Lead the implementation of data science projects and data science approaches to support commercial goals \n, • Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working \n, • Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processes \n\n\n, • Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results \n, • Be a champion and role model for the application of data science across the Kingfisher group \n, • Support the data leadership team in developing a “data culture” and demonstrating the value of data in our decision making \n, • Lead our efforts to develop the data science (and broader customer analytics) “brand” at Kingfisher for both internal and external audiences\n\n\n, • Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products \n, • Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP) \n, • Excellent understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) \n, • Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) \n\n\n, • Strong software development skills (Python is the preferred language) \n, • Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow \n, • Strong management and leadership skills – previous experience managing a team \n, • Strong influencing, communication and stakeholder management skills \n\n Be Customer Focused – constantly improving our customers’ experience \n We listen to our customers and colleagues \n We innovate products and experiences to stay ahead \n Be Human – leading with purpose, humanity and care \n We do the right thing \n We invest in our people and build great teams \n Be Curious – thrive on learning, thinking beyond the obvious \n We focus externally, globally and build the long term \n We experiment and share our learnings \n Be Agile – building trust and empowering people to work with agility \n We act with pace, not perfection, role modelling 80/20 \n We take risks, fail fast and adapt quickly \n Be Inclusive – inspiring diverse teams to achieve together \n We celebrate difference as a strength \n We collaborate, breaking down silos \n Be Accountable – owning the plan, delivering results and growth \n We focus on performance outcomes \n We prioritise and simplify for others \n At Kingfisher, we value the perspectives that any new team members bring, and we want to hear from you. We encourage you to apply for one of our roles even if you do not feel you meet 100% of the requirements. \n In return, we offer an inclusive environment, where what you can achieve is limited only by your imagination! We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best self. \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-TB1

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n We’re entering a once-in-a-company moment: a major step-change in our D2C marketing investment, a full rebrand of the company and product under the Zable brand, and a marketing function being built out at pace under a newly-appointed CMO. This is one of the most exciting marketing builds in UK fintech right now, with the financial strength, customer base, and product depth to back it up. \n We’re looking for a Creative Designer to join our growing creative pod and produce best-in-class campaign work across Zable. You’ll have significant scope to shape how the brand looks and feels in the market — from rebrand applications through to large-scale campaigns. \n What we're looking for: \n Essential: \n\n • \n 4+ years as a creative or brand designer, ideally for a consumer brand or in a top creative agency \n • \n A portfolio that shows strong typographic, layout and conceptual thinking — not just template execution \n • \n Experience designing for performance / growth marketing. Confident across paid social, performance marketing, campaigns, social \n • \n Strong attention to detail and ability to maintain brand consistency at scale \n • \n Comfortable working from briefs and turning rough ideas into shippable concepts \n • \n Demonstrable use of AI tools in your design workflow \n\n Desirable: \n\n • \n Motion and video skills (After Effects, Figma motion, modern AI motion tools) \n • \n Experience contributing to a rebrand or new brand launch \n • \n Familiarity with creative testing frameworks \n\n You’re a good fit if you’re \n\n • \n Focused on growth — your goal is to produce creative work that helps customers solve real world problems, you obsess over how to scale growth metrics through creative optimisation and scale \n • \n Versatile — you can move between brand purity and performance pragmatism \n • \n Collaborative — you give and take feedback well \n • \n Self-motivated — you take a brief and run with it \n • \n Curious about AI and how it changes design \n\n What you'll be doing \n Production & Iteration: \n\n • \n Scale creative output across paid channels \n • \n Produce variations to support creative testing and learning \n • \n Iterate based on performance data and team feedback \n\n Brand Stewardship: \n\n • \n Maintain visual consistency across all marketing materials \n • \n Own creative QA on assets before launch — regulatory text, formats, exports \n • \n Build and maintain templates, design systems and asset libraries \n\n Collaboration & AI: \n\n • \n Work closely with the Head of Creative, growth, and product design teams \n • \n Use AI tools to increase the speed and quality of your work \n • \n Contribute ideas to creative direction and experimentation \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n Job Description \n About the role: \n Join us as a Senior Software Engineer in our critical Account Integrity team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. \n How we work: \n The Account Integrity Team \n The Account Integrity team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams, and consistently surpasses regulatory expectations. \n What will you be working on? \n This defining role involves continuously improving our financial crime prevention infrastructure and systems. You will deliver a direct, measurable impact on customer security by taking end-to-end ownership of projects focused on: \n\n • \n Building and refining critical controls to protect Wise customers accounts from account takeovers. \n • \n Drive Backend and Frontend for our crime prevention and detection systems - You will be working 80% of the time on a backend and 20% on the frontend \n • \n You will be delivering a tangible, real-world impact by securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product. \n\n What do you need? \n\n • \n Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts of traffic - ideally using React based frontend applications, Javascript / Typescript. \n • \n System Design & Operation: Proven experience designing and operating CI/CD pipelines, Distributed, and Concurrent Systems. \n • \n Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind. \n • \n Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas. \n • \n Code Quality: Exceptional fundamentals, sharp problem-solving ability, and a commitment to Test Driven Development and best coding practices. \n • \n Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations). \n\n Nice to Have: \n\n • \n Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). \n\n Additional Information \n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £87,500 - 111,000 + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a GE Activation Lead, you will serve as the tactical engine driving the adoption of Gemini Enterprise (GE) across Google Cloud’s accounts. Your primary mission is to industrialize AI excellence by moving licenses from sold to activated, with a relentless focus on increasing Weekly Active Users (WAU) and ensuring production-grade deployment of AI agents and workflows. \n In this role, you will lead the GE Accelerator efforts, acting as the bridge between Google’s AI product roadmap and partner field execution. By arming partners with technical architecture and programmatic, you will help customers move beyond pilot phases into full-scale production-grade deployments that meet the standards of operational impact. \n Minimum qualifications: \n\n • Bachelor’s degree in Electrical Engineering, Computer Science, or an equivalent technical field.\n, • \n 10 years of experience in Partner Management, Technical Account Management, Solutions Architecture, or Professional Services within a cloud computing environment. \n • Experience leading, coordinating, or architecting AI/ML technical transformations.\n, • Experience of the GenAI stack, cloud infrastructure constraints, and machine learning life-cycles.\n\n Preferred qualifications: \n\n • Master’s degree in Computer Science, Electrical Engineering, or an MBA with a technical undergraduate background.\n, • Proficiency with Google Cloud AI offerings (Vertex AI, Gemini) and familiarity with modern multi-agent systems such as LangGraph or CrewAI.\n, • Ability to navigate complex co-investment models and milestone-based incentive agreements that align partner business with actual customer ROI.\n, • Ability to view the partner ecosystem as a product, constantly iterating on feedback loops between funding, partner capabilities, and customer success.\n\n Responsibilities: \n\n • Manage the end-to-end activation model, guiding partners through stages from value establishment to active transformation. Manage partner performance using a 5-KPI scorecard focusing on the number of deployments, WAU alignment, partner headcount with GE seats, practitioner delivery experience, and pipeline health.\n, • Oversee the deployment and continuous improvement of the activation library, including technical assets such as ROI calculators, business cases, and workshops designed to help partners activate seats and prove customer value.\n, • Facilitate coordination between Customer Account Leads (CALs), Customer Engineers (CEs), Professional Services (PSO), and partner engineers to troubleshoot technical blockers and maintain a clear log of product issues for feedback to engineering.\n, • Identify customer solutions and transform them into repeatable Ecosystem Playbooks. Translate successful partner-led transformations into global design patterns \n

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n As we continue to build upon the diversity of our team we are thrilled to have the opportunity to bring on board a Senior Kotlin engineer to a newly forming pod. This is an opportunity to bring new experience, perspective and capabilities to our design discussions, helping shape our approach to delivering elegant solutions to complex engineering challenges as we continue to grow. This is the team that put the Tech in FinTech, our current tech team is around 80 strong and have helped transform finance by building a next-generation lending platform, a next-gen credit card, and auto-finance product, and they’re at it again with brand new product launches this year. \n We're looking for an engineer with a depth of knowledge and recent hands-on Kotlin experience that enables them to not only deliver elegant, idiomatic solutions in Kotlin but also to contribute new knowledge and experience to our frequent collaborative design forums with stakeholders from every area of the business. \n There’s a lot to do, from building and integrating new API’s to help build out our new collections function to creating new internal tools and supporting our expansion of new products and supporting services in the US. \n We believe that software engineering is more than just code - it’s about people. We believe that the best teams are made of great people. That fundamentally great software engineering is about alignment, sharing what we know and being nice to each other. When we put all this together we make software engineering better by continually improving our capabilities as a team and making our working environment a happy and productive place. \n There is more to read about us and our Lendies in the engineering blog right here and if you’d like to check our reviews out on Glassdoor you can see these here. \n Our Tech Stack \n Backend \n\n • \n Kotlin 1.7.20 \n • \n AWS \n • \n GraphQL (it would be nice if you were familiar with this but it’s not a deal breaker) \n • \n Postgres \n • \n RabbitMQ \n • \n Docker \n • \n Kubernetes \n\n Frontend \n\n • \n React & React Native, TypeScript, MobX, Redux, Stylus and SASS \n\n Other \n\n • \n We build our Kotlin projects using Gradle and GitHub Actions, deploying to production as soon as we finish a feature \n • \n We use JUnit Jupiter, Kotest and TestContainers for automated testing \n\n What technical skills you’ll need to have \n\n • \n Strong commercial Kotlin experience \n • \n An ability to write simple, clean code \n • \n Experience and understanding of databases; relational databases are a must, NoSql would be nice too \n • \n Be able to quickly understand complex, financial business domains \n • \n Understand different software architectures rapidly \n • \n Understands abstraction and interpolation \n • \n Able to write comprehensive, automated tests at all levels of the pyramid \n • \n Understanding of the Kanban agile methodology; not a deal breaker if you don’t \n\n What kind of person you’ll need to be \n\n • \n Someone who can get along with others and build relationships \n • \n Someone who wants to continually learn, improve and collaborate \n • \n Someone who can solve problems on their own but also knows when to go to their peers for help \n • \n Someone who is a rational thinker and is aware of the ‘why’ behind the way they do things \n • \n Someone who is a pragmatist who can sensibly weigh the tradeoffs between code quality and delivery \n\n Interview process \n\n • \n A 30 minute introductory call with one of our engineers \n • \n A short coding exercise to complete in your own time \n • \n Onsite or Video Interview lasting 60-90 minutes, comprising of: \n \n • \n Introduction of the team and kind of work you could be doing daily \n • \n Discussion around the coding exercise you completed \n • \n Interactive architecture/design exercise \n • \n Tech project walkthrough \n • \n Cultural/behavioural questions to see if you’d be a good fit for Lendable \n • \n Questions you may have about the company, role, etc \n \n\n Check out our blog \n We also have an engineering blog where we have written in more detail how we work in the engineering team. \n Life at Lendable \n\n • \n The opportunity to scale up one of the world’s most successful fintech companies \n • \n Best-in-class compensation including equity \n • \n You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas \n • \n Our in-house chef prepares fresh, healthy lunch in the office every Tuesday-Thursday \n • \n Encouraged and sponsored personal and team growth through our training budget, 10% time for all engineers and active guilds \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n At Lendable, we're on a mission to brighten the financial futures of millions of Americans. Since launching our U.S. Credit Card in May 2024, we’ve been reshaping consumer credit by blending exceptional talent with cutting-edge technology. \n We’re looking for confident, motivated, and persuasive communicators who thrive on helping customers achieve financial stability. As part of this exciting new chapter, you’ll play a key role in defining and managing critical operational processes from start to finish, making a real impact every day \n Working Hours: Rotating weekly shifts to align with US operating hours: \n\n • \n Shift 1: 12:00 PM–9:00 PM UK time (Monday–Friday). WFH Monday & Friday, Tuesday - Thursday in office. \n • \n Shift 2: 4:00 PM–1:00 AM UK time (Monday–Friday). - Fully remote. \n\n Training: Training will be 4-6 weeks long and held in our London office. The training times will be 10 am - 7 pm Monday - Friday UK time. \n Holidays: You will receive 25 days annual leave plus 8 days (US holidays + Christmas day guaranteed). \n Your profile \n\n • \n At least 2 years in any industry in a customer-facing role, with a track record of connecting with and helping others. \n • \n You’re curious, quick to assess situations, and skilled at finding effective solutions. \n • \n Excellent written and verbal communication skills, active listening and rapport-building abilities. \n • \n You handle conflict gracefully, recover quickly from challenging interactions, and maintain composure. \n • \n Comfortable with technology and quick to learn new software. \n • \n Open to feedback, eager to improve, and adaptable to change in a fast-paced environment. \n • \n Enjoy solving problems independently, multitasking, and improving processes. \n\n What you'll be doing \n\n • \n Interacting directly with customers via phone, email, and chat to answer questions and resolve issues with care and efficiency (and to the highest standard). \n • \n Ensuring every interaction reflects our commitment to putting customers first and that customer demand is met when it comes to query resolution. \n • \n Coordinating across internal teams and external partners to drive the success of the US Cards program. \n • \n Interact directly with customers via voice/non-voice as part of your role to ensure customer demand is met and customers achieve first-contact resolution on their query/need. \n • \n Escalating risks or potential risks that may negatively impact good customer outcomes. \n • \n Identifying and recording customer dissatisfaction against Lendables processes and responding appropriately to achieve complaint resolution, where complaint resolution is not possible following complaint escalation procedures. \n • \n Meeting defined individual and team performance targets to ensure delivery of key business and department objectives. \n\n Nice to haves \n\n • \n Previous experience in financial services or consumer lending environments. \n • \n Familiarity with US-based work environments and customer expectations. \n\n Interview Process \n\n • \n An intro call with a member of the Talent Team \n • \n Role-specific interview - Onsite \n • \n Final stage interview with the head of department \n\n Salary Range: £30K–£39K (includes an allowance for unsociable hours). \n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n We’re looking for a Product Manager to help shape and grow the UK Cards product. \n This is not a traditional PM role focused on roadmap management, stakeholder coordination or writing tickets. We are looking for someone who thinks like an owner and operates like a builder. \n You should be someone who naturally questions how things work, challenges assumptions and looks for practical ways to improve the product. \n You will work closely with engineering, operations, data, finance and commercial teams to identify problems, validate opportunities and drive execution across the Cards business. The role combines product thinking, experimentation, problem solving and AI tooling. \n If you are excited by fintech, lending and building products in a fast moving environment, this role offers significant ownership and impact. \n What you'll be doing \n This role will cover a broad range of work across the UK Cards product. \n\n • \n Driving product and growth initiatives \n\n You will identify opportunities to improve customer experience, engagement, conversion and business performance. \n Examples include: \n\n • \n Designing and running experiments across acquisition, onboarding, engagement and retention \n • \n Improving customer journeys, product features and servicing experiences \n • \n Using data and customer insights to prioritise product opportunities \n • \n Defining MVPs and validating ideas before committing engineering resources \n • \n Working closely with engineering teams to deliver high impact improvements \n\n\n • \n Building operational leverage and AI-enabled workflows \n\n We want someone who actively looks for smarter and more scalable ways to work. \n Examples include: \n\n • \n Improving internal tooling and operational workflows \n • \n Driving adoption of AI tools across the team (Claude, Cursor and other emerging tooling) \n • \n Supporting development of AI-powered customer support and servicing \n • \n Automating manual operational processes where possible \n • \n Helping teams make faster and better decisions through better workflows \n\n\n • \n Owning cross functional problem solving \n\n The role requires operating across product, operations, finance, capital markets and customer servicing. \n Examples include: \n\n • \n Identifying operational bottlenecks and driving improvements \n • \n Coordinating complex initiatives across multiple teams \n • \n Translating ambiguous business problems into impactful plans \n • \n Balancing customer outcomes with commercial and operational constraints \n\n A core part of the role is continuously challenging how things are done today and helping the organisation operate in simpler, faster and more effective ways. \n Who this role is for \n This role is designed for someone who wants significant ownership and enjoys solving hard problems in fast moving environments. \n Typical profile \n\n • \n 4+ years of experience in product, strategy, consulting, analytics or startup environments \n • \n Experience owning products or growth initiatives \n • \n Strong interest in fintech, lending and technology \n • \n Comfortable working across both strategy and execution \n • \n Curious about AI and how new tools can improve product development \n • \n Interested in building and scaling products with real business impact \n\n You should be someone who \n\n • \n Thinks from first principles rather than accepting how things currently work \n • \n Challenges assumptions and asks high quality questions \n • \n Enjoys solving ambiguous and messy problems \n • \n Uses data confidently to make decisions \n • \n Moves quickly and tests ideas pragmatically \n • \n Is highly ownership and execution focused \n • \n Can operate independently with broad direction \n • \n Communicates clearly across technical and non technical teams \n • \n Is comfortable switching between product, operational and commercial contexts \n\n Why this role is interesting \n You will get exposure to: \n\n • \n How consumer lending and credit cards work in practice \n • \n Building and scaling one of the UK’s most successful fintech products \n • \n Product-led growth and experimentation \n • \n AI tooling and automation inside a real product organisation \n • \n The operational and commercial side of running a fintech business \n • \n Cross functional decision making across product, finance, operations and risk \n\n You will work closely with senior members of the Cards team and have the opportunity to own meaningful, business critical initiatives with significant autonomy. \n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to shape the future of data, analytics, and AI at JPMorganChase. As part of our Applied AI ML team, you will have the opportunity to work in dynamic squads focused on impactful products and projects. You'll collaborate with diverse teams, accelerate your career, and help deliver solutions that enhance our data management and governance capabilities. We value your technical expertise, solution-oriented mindset, and passion for innovation. Your contributions will directly influence how we maximize the value of data globally. \n As a Vice President, Applied AI ML Lead in the Firmwide Chief Data Office's Applied AI ML team, you will design and deliver AI solutions that advance our data governance and management capabilities. You will work closely with business lines, corporate functions, and engineering teams to identify opportunities and create impactful solutions. Your role will empower you to move between tribes and squads, leveraging your strengths and interests. You will help foster a collaborative, innovative culture focused on driving transformation through AI and machine learning. \n Job Responsibilities: \n\n • Design and develop AI/ML solutions for data management challenges\n, • Build prototypes to demonstrate value to stakeholders\n, • Collaborate with business lines and corporate functions to identify needs\n, • Partner with engineering and data science teams for solution delivery and integration\n, • Maintain comprehensive documentation of models, experiments, and processes\n, • Deliver written, visual, and oral presentations of modeling results to stakeholders\n, • Stay current with research in LLM, ML, and data science\n, • Identify and leverage emerging techniques to enhance solutions\n\n Required Qualifications, Capabilities, and Skills: \n\n • Formal training or certification in data and AI/ML concepts with expert applied experience\n, • Proven commercial experience developing in Python and manipulating large volumes of complex data using SQL\n, • Extensive experience as a data scientist, AI/ML engineer, or AI/ML researcher\n, • Demonstrated ability to solve complex problems with multiple constraints\n, • Ability to articulate business needs to technical leadership and technical issues to business leadership\n, • Proven ability to engage constructively and collaboratively with engineers, designers, and company leaders\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience using AI agents and copilots to enhance business processes or user experiences\n, • Experience with data management\n\n The Firmwide Chief Data Office is dedicated to maximizing the value and impact of data globally, with a strong focus on governance. Our teams accelerate JPMorganChase's data, analytics, and AI journey through strategy, impact optimization, privacy, governance, transformation, and talent development. \n Why Join Us? \n You will be part of a collaborative environment where your ideas and expertise drive real change. We offer opportunities to grow, move between teams, and work on projects that matter. Your work will help shape the future of data and AI at JPMorganChase. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions. \n As a Senior Lead Architect at JPMorganChase within Asset & Wealth Management (AWM), you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains. \n Job responsibilities \n\n • Represents architecture strategy on cross-domain change initiatives to CTO level\n, • Provides feedback and proposes improvements to architecture governance practices\n, • Provides thought leadership and development for the System of Record for AM Architecture and is capable of operating in the capacity of a Product Owner.\n, • Regularly provides technical guidance and direction to support the business and its technical teams.\n, • Foster collaboration across the federated architecture teams to reinforce the effectiveness of a common working framework\n, • Drive decisions that influence product design, application functionality, and technical operations and processes\n, • Serves as a function-wide subject matter expert in one or more areas of focus across the Asset Management architecture\n, • Actively engages the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle\n, • Influences peers and project decision-makers to consider the use and application of leading-edge technologies\n, • Adds to team culture of diversity, opportunity, inclusion, and respect\n\n Required qualifications, capabilities, and skills \n\n • 10 years of experience in architecture roles and facing off to senior stakeholders\n, • Hands-on practical experience delivering system design, application development, testing, and operational stability\n, • Experience in architecture methodologies, solution design, C4 notation, ARx notation\n, • Advanced knowledge of software architecture, applications, and technical processes with in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\n, • Ability to tackle design and functionality problems independently with little to no oversight\n, • Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture\n, • Be highly organised, a great communicator and be a strong advocate for instilling the best possible architecture skills into the Architecture practice. \n\n Preferred qualifications, capabilities, and skills \n\n • 10+ years in Financial service, preferably Asset Management\n, • Product Owner experience leading the direction and strategy of Architecture Tooling\n, • Development of communities of practice and driving collaboration/partnership\n, • All aspects of AI; use in architecture, architecting the use/reuse of and using to build architecture tooling, standards, patterns etc.\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

hackajob is collaborating with Vitality to connect them with exceptional professionals for this role. \n Team – Data Science and AI \n Working Pattern - Hybrid – 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. \n We are happy to discuss flexible working! \n Top 3 skills needed for this role: \n\n • Demonstrated Machine Learning Expertise\n, • Advanced Python & SQL Mastery\n, • Proven Stakeholder Collaboration\n\n What this role is all about: \n We're looking for a Data Scientist to play a key role in transforming underwriting and claims through data, AI and advanced analytics. \n You'll work across data science, technology and business operations to convert complex data into practical insights and solutions. These solutions will support better outcomes, improve operational efficiency and enhance customer outcomes. \n You'll solve real-world business obstacles, partner with experts from across the organisation and contribute to the next generation of AI-enabled underwriting and claims capabilities. \n Key Actions \n\n • Apply data science, machine learning and AI techniques to improve underwriting and claims decision-making, customer outcomes and business performance\n, • Develop predictive models, analytical tools and dashboards that provide actionable insights and support operational excellence\n, • Work with complex and diverse data sources to identify trends, risks and opportunities across underwriting and claims journeys\n, • Take ownership of data science initiatives from problem definition through to implementation, ensuring solutions deliver measurable value\n, • Identify opportunities to automate manual processes, streamline workflows and improve efficiency across the customer lifecycle\n, • Collaborate with Underwriting, Claims, Medical, Product and Technology teams to understand challenges and develop effective data-driven solutions\n, • Build and maintain robust datasets, analytical assets and scalable models that support long-term business capability\n, • Evaluate and implement AI-powered solutions, including intelligent decision support and workflow automation capabilities\n, • Communicate technical findings and recommendations clearly to a range of stakeholders, translating complex analysis into meaningful business insight\n, • Support the growth of data-driven decision making and contribute to the development of innovative underwriting and claims capabilities\n\n What do you need to thrive? \n\n • Degree in Data Science, Mathematics, Statistics, Computer Science or a related numerical discipline\n, • Proven experience applying data science, machine learning and AI techniques to solve complex business problems\n, • Strong SQL and Python skills with the ability to analyse, manipulate and model large datasets\n, • Experience developing and deploying predictive models within a commercial environment\n, • Ability to translate complex analysis into clear, actionable insights for a range of stakeholders\n, • Strong stakeholder management skills with experience working across business and technical teams\n, • Commercial mindset with a focus on delivering measurable business value and operational improvements\n, • Experience working with version control and collaborative code repositories such as GitHub or Bitbucket\n\n So, what’s in it for you? \n\n • Bonus Schemes – A bonus that regularly rewards you for your performance\n, • A pension of up to 12%– We will match your contributions up to 6% of your salary\n, • Our award-winning Vitality health insurance – With its own set of rewards and benefits\n, • Life Assurance – Four times annual salary\n\n These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! \n \n If you are successful in your application and join us at Vitality, this is our promise to you, we will: \n\n • Help you to be the healthiest you’ve ever been\n, • Create an environment that embraces you as you are and enables you to be your best self\n, • Give you flexibility on how, where and when you work\n, • Help you advance your career by playing you to your strengths\n, • Give you a voice to help our business grow and make Vitality a great place to be\n, • Give you the space to try, fail and learn\n, • Provide a healthy balance of challenge and support\n, • Recognise and reward you with a competitive salary and amazing benefits\n, • Be there for you when you need us\n, • Provide opportunities for you to be a force for good in society\n\n We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. \n As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. \n Job Responsibilities: \n\n • Architect, develop, and productionize autonomous and assistive AI agents to enhance operations.\n, • Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks.\n, • Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation.\n, • Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling.\n, • Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations.\n, • Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops.\n, • Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact.\n, • Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations.\n, • Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Advanced degree in Computer Science, Data Science, Machine Learning, or related field.\n, • Experience building and deploying agentic AI applications in production environments.\n, • Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.\n, • Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts.\n, • Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph.\n, • Knowledge of generative models including transformers, GANs, VAEs, and diffusion models.\n, • Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques.\n, • Familiarity with cloud platforms and containerization technologies.\n, • Strong problem-solving skills and ability to work independently and collaboratively.\n, • Effective communication skills for technical and non-technical audiences.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience in financial services, especially investment banking operations.\n, • Experience fine-tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation.\n, • Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites.\n, • Experience with distributed computing, data sharding, and performance optimization.\n, • Hands-on experience with AWS services related to AI deployment and workflow orchestration.\n\n Why Join Us? \n We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM \n J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.