Technical Business Analyst
18 hours ago
Holmdel
The firm is seeking a highly analytical and detail-oriented Technical Business Analyst (TBA) to support the firm's Investments Data Platform initiatives. This role partners closely with Product Manager/Product Owner, and business stakeholders to capture, analyze, and translate complex investment data requirements into scalable technology solutions. The ideal candidate will have hands-on experience working with investment data (holdings, trades, securities, ratings, cash flows) and will play a key role in driving data integration, automation, and reporting capabilities across the platform. Responsibilities: • Investment Data Requirements & Analysis: Collaborate with Product Manager/Product Owner, portfolio teams, risk, and operations stakeholders to gather and document business requirements, • Translate investment workflows into functional specifications, data mappings, and system requirements, • Analyze datasets such as holdings, trades, issuer/security master, pricing, and ratings data to support solution design, • Understand upstream/downstream dependencies across data pipelines and reporting systems, • Data Analysis & Data Quality: Perform detailed data profiling, reconciliation, and validation across multiple systems (e.g., source files, data platforms, reporting tools), • Identify and resolve data quality issues, breaks, and inconsistencies, • Define and document business rules, transformations, and validation checks, • Support data lineage and traceability across ingestion to consumption layers, • Jira, Agile Delivery & Backlog Management: Create and manage Jira features, epics, and user stories aligned to investment data initiatives, • Break down requirements into granular, testable stories with clear acceptance criteria, • Participate in backlog refinement, planning, and prioritization with Product and Engineering teams, • Ensure traceability between business requirements, technical design, and delivery artifacts, • Requirement Refinement & Cross-Team Collaboration: Continuously refine requirements through iteration, stakeholder feedback, and technical feasibility discussions, • Collaborate with data engineers, platform teams, and architects to ensure alignment with system design, • Work closely with QA teams to define test scenarios and ensure requirements are correctly implemented, • Act as a bridge between business and technical teams, ensuring shared understanding, • Testing & UAT (User Acceptance Testing): Define and execute UAT test cases aligned with investment workflows and data outputs, • Validate end-to-end flows (e.g., data ingestion, transformation and reporting), • Coordinate with business users to ensure functional completeness and accuracy, • Log and track defects, and support resolution through to closure, • Delivery & Stakeholder Communication: Provide regular updates on feature progress, risks, and dependencies, • Support release validation and production rollout activities, • Ensure delivered solutions meet business expectations and data accuracy standards, • Contribute to continuous improvement of data platform processes and automation Required Qualifications: • Bachelor's degree in Finance, Computer Science, Information Systems, or related field, • 5+ years of experience as a Technical Business Analyst in investment, asset management, or financial services domain, • Strong understanding of investment data concepts (e.g., securities, trades, portfolios, asset classes, ratings), • Hands-on experience with Jira (features, epics, user stories, backlog management), • Strong data analysis skills using SQL, Excel, or similar tools, • Experience working in Agile/Scrum delivery environments Preferred Qualifications: • Experience with investment data platforms, data lakes, or warehouse architectures, • Familiarity with tools such as Neoxam data hub, Databricks, Python, or cloud data platforms (Azure/AWS), • Experience with data ingestion frameworks, ETL/ELT pipelines, and API integrations, • Knowledge of private placements, fixed income, or insurance investment portfolios, • Exposure to enterprise platforms