Promoter - L’assaggino - London

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Are you passionate about transforming data into actionable insights? Join our Transformation & Innovation team, where you'll help shape the future of financial analysis at JPMorganChase. You'll have the opportunity to grow your career, collaborate with talented colleagues, and make a real impact by building data products that empower our Planning & Analysis community. We value your curiosity, creativity, and drive to deliver solutions that make data accessible and meaningful. \n As a Planning and Analysis Data Modeler - Senior Associate within the Corporate Financial Analysis team, you will design and implement end-to-end data models that enhance accessibility and understanding for a diverse range of users. You will work closely with finance, analytics, and technology teams to build and refine data models, making information easier to use and standardizing data across the organization. Your role is central to improving data pipelines and supporting innovation, helping us deliver high-quality solutions that drive business performance. \n Job responsibilities \n\n • Design, develop, test, and refine data models and analytic prototypes\n, • Solve complex data challenges at the intersection of finance and technology\n, • Support the development of cloud-based data lakehouse solutions for Planning & Analysis\n, • Guide and support data consumers in leveraging data products for analytics and planning\n, • Utilize AI-assisted coding tools to accelerate development and optimize SQL\n, • Identify opportunities to embed AI into Planning & Analysis workflows\n, • Work with diverse data sets to support various Planning & Analysis processes\n, • Collaborate with senior team members on solution design\n, • Inspire innovation and champion change across teams within JPMorganChase\n\n Required qualifications, capabilities, and skills \n\n • Strong analytical and problem-solving skills with attention to detail\n, • Hands-on experience building and prototyping data models to address user needs\n, • Proficient in SQL and Python for data analysis, engineering, and transformation\n, • Relevant experience developing, testing, and refining data models using dimensional and relational approaches\n, • Curious mindset with a drive for continuous improvement\n, • Familiarity with prompt engineering principles and LLM-based tools\n, • Effective communication skills to present data findings and support users\n, • Experience with ETL/ELT processes and architecture in data pipelines\n, • Experience building models for dashboard or cube consumption\n, • Familiarity with cloud-based data lake platforms such as AWS, Azure, or Google Cloud\n, • Bachelor's degree in computer science, data science, information systems, business analytics, or related discipline\n\n Preferred qualifications, capabilities, and skills \n\n • Experience with Databricks and notebook-based development\n, • Experience working with financial and workforce datasets\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 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 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 Your mission \n You’ll explore how to harness the potential of AI to scale your impact as a designer. You’ll quickly test and iterate on your ideas with a high degree of freedom and flexibility, learning as part of your day-to-day work as the technology evolves. \n You’ll shape the core Wise Assistant experience for Support and beyond. You’ll design the system that guides our customers through every part of the Wise product, giving them quick and reliable help exactly when they need it. Together with your technical partners, you’ll architect and design agents, own prompts, and define how context and knowledge are used to resolve real customer problems. \n This role will sit within the Content Design Guild as part of our Design team, as the disciplines share a common skill set and design process. \n How you’ll contribute: \n\n • Together with a team of engineers, product managers, and data scientists, you’ll design the systems that enable Wise to deliver conversational AI experiences that help customers at the exact moment they need support.\n, • You’ll collaborate with partners across engineering, data science, product, and design to set the vision and strategy, and coach teams to deliver it.\n, • You’ll shape agent behaviour, define how components of the system interact, and own prompts, reasoning, and context.\n, • You’ll be influential within your product area, identifying and prioritising system needs and delivering the most impactful projects across multiple teams.\n, • Using your expertise, you’ll raise design maturity and deepen the Support squad’s understanding of context engineering.\n, • As part of the Content Design Guild, you’ll regularly collaborate with Wise’s wider content community. You’ll also have plenty of opportunities to partner with other Model and Content Designers to evolve how we approach working with AI as designers.\n\n This role will give you the opportunity to: \n\n • Own the squad’s automation strategy end to end and steer its direction.\n, • Champion quality for our customers—you’ll define what good looks like within the squad and demonstrate it through everything you ship.\n, • Be part of a positive change in the world. We’re fixing a broken system and putting people and businesses in control of their money.\n\n About you: \n\n • You’re an accomplished and experienced Model Designer, or a systems-focused Content Designer who has already made this transition in your day-to-day work. You bring extensive experience in designing large, complex automation systems that deliver exceptional experiences to customers.\n, • You have an in-depth understanding of AI and strong perspectives on how its underpinning systems should be shaped, both within user-facing products and as part of the design process.\n, • You’ve designed systems that generate content and experiences to guide customers, including prompts, guardrails, knowledge architecture, and agents.\n, • You love learning new things, nerding out on technical details, and applying what you learn to solve complex problems.\n, • You’re comfortable navigating ambiguity and collaborating successfully in this kind of environment. You learn quickly and put what you learn into practice.\n, • You have an eye for quality and know where to focus to improve it.\n, • You’re influential and inspiring, and you work well with others in a culture that values autonomy and empowerment. You champion the role of model design and content design in automation-based projects and enjoy coaching designers who are new to these kinds of products.\n, • You’re highly empathetic, both towards customers and the people you work with.\n\n Heads up: this probably isn’t for you if: \n You haven’t previously worked hands-on with a large-scale automated system. This role requires a high level of technical expertise and the ability to partner as an equal with data scientists and engineers when designing large, complex AI systems. You should already have a strong working knowledge of common prompt-engineering techniques and frameworks, context engineering, and agentic design. \n Your experience is mostly in marketing content, advertising, copywriting, journalism, or social media, and you have no hands-on experience in model design, content design, or UX. \n You’re not comfortable navigating complexity or working in a fast-paced environment. \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 Vanguard to connect them with exceptional professionals for this role. \n Overview \n The Head of Validation, Model Risk is a senior leadership role responsible for setting enterprise direction for model validation—delivering independent, risk-based oversight across a diverse portfolio of models spanning investment and risk management, fraud and compliance, finance and HR, and rapidly evolving Gen AI and agentic use cases. This role serves as the senior authority for model validation, setting the bar for defensible methodologies, rigorous challenge, and clear, decision-ready risk communication to senior leaders. The Head of Validation will strengthen model risk culture and lifecycle discipline across the enterprise—driving timely issue remediation, elevating validation quality and consistency, and ensuring Vanguard’s practices remain aligned with regulatory and audit expectations. \n Responsibilities \n Leadership & Team Management \n\n • Leads a high‑performing, multidisciplinary model validation team responsible for validating a diverse portfolio of models including investment and risk management, fraud and compliance, finance and HR, as well as Gen AI and Agentic use cases\n, • Develop and mentor talent to promote strong technical capabilities and a high-quality validation process\n\n Validation Oversight & Approval \n\n • Serve as the final approval authority for validation reports on higher-risk models\n, • Ensure validation conclusions are robust, well‑supported, and communicated clearly to stakeholders with varying levels of technical expertise\n\n Model Risk Governance & Lifecycle Management \n\n • Oversee adherence to enterprise model lifecycle requirements—including model inventory accuracy, change management, ongoing monitoring, and issue remediation.\n, • Drive timely resolution of model‑related issues and non‑compliance, escalating when necessary\n, • Strengthen model‑risk culture across the enterprise through targeted training, outreach, and proactive engagement with model owners and developers\n\n Methodology & Practice Leadership \n\n • Define, maintain, and continually enhance the methodologies and test approaches used in model validation\n, • Ensure comprehensive assessment of conceptual soundness, performance, data quality, implementation accuracy, and other model risk considerations\n, • Lead the evolution of validation techniques for emerging modeling approaches, including LLM‑enabled and agentic systems\n\n Standards, Policies & Quality Assurance \n\n • Own the enterprise’s model development and model validation standards, guidelines, procedures, and templates.\n, • Establish and oversee quality assurance mechanisms—including peer review, thematic reviews, and consistency checks—to ensure embedment of high-quality validation practices.\n\n Executive Reporting & Model Risk Insights \n\n • Deliver clear, actionable reporting on key model risks, model uncertainty, issue remediation, and emerging trends to senior committees and executives.\n, • Support the development and enhancement of divisional and enterprise model‑quality scorecards and contribute to the risk‑appetite process\n\n Senior Stakeholder, Regulatory & Audit Engagement \n\n • Serve as a primary point of contact for regulators, internal audit, and senior leaders on model validation related matters\n, • Articulate validation rationales, modeling assumptions, and risk implications clearly and confidently to supervisory authorities and executive stakeholders.\n\n Qualifications \n\n • Advanced degree in technical field (e.g. Master's or doctoral degree in quantitative discipline such as Mathematics, Statistics, or Economics).\n, • 10+ years of experience across model development, model validation, and model risk management, including a minimum of five years leading multi‑layered model validation teams.\n, • Extensive experience with a broad range of model types, including machine learning/LLM‑based models.\n, • Deep knowledge of model‑risk management principles and regulatory frameworks (e.g., SR26-2, SS1/23) and demonstrated experience engaging with regulators and internal audit.\n, • Strong technical proficiency with programming languages and analytical tools such as Python, R, or C++, and familiarity with emerging technologies, AI governance, and modern model development practices.\n, • Proven ability to translate complex technical concepts into clear, actionable insights for senior executives.\n, • Exceptional written and verbal communication skills, including experience presenting to senior committees, executives, and regulatory bodies.\n, • Demonstrated ability to partner with stakeholders to balance effective challenge, practical solutions, and business objectives.\n\n Special Factors \n Sponsorship \n Vanguard is not offering visa sponsorship for this position. \n About Vanguard \n At Vanguard, we don't just have a mission—we're on a mission. \n To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. \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.