Business Analyst - Reference Data Management

Business Analyst – Reference Data Management Business Analyst – Reference Data Management1 We are seeking a detail-oriented Business Analyst to drive Reference Data Management initiatives across enterprise systems. You will bridge business, IT, and data governance teams to ensure high-quality, consistent, and well-governed reference data that supports trading, risk, finance, and regulatory reporting. Key Responsibilities Requirements & Analysis: Gather, document, and validate business requirements for reference data onboarding, maintenance, and distribution across asset classes – securities, counterparties, accounts, calendars, etc. Data Lifecycle Management: Define and manage end-to-end reference data workflows including sourcing, validation, enrichment, golden record creation, and publishing to downstream systems. Stakeholder Collaboration: Work with Trading, Operations, Risk, Compliance, and IT teams to understand data needs, resolve conflicts, and drive adoption of RDM standards. Data Quality & Governance: Define data quality rules, KPIs, and SLAs. Perform root-cause analysis on data issues and coordinate remediation with data owners/stewards. Process Improvement: Identify gaps in current RDM processes and propose automation, controls, and operating model enhancements. Support UAT, training, and rollout. Documentation: Maintain business glossaries, data dictionaries, lineage docs, and SOPs for reference data domains. Ensure alignment with BCBS 239, FRTB, and other regulatory frameworks as applicable. Required Qualifications Experience: 4-7 years as a Business Analyst, with 2+ years in Reference Data, Master Data, or Data Governance within Banking, Capital Markets, or Insurance. Domain Knowledge: Strong understanding of financial reference data – instruments, issuers, counterparties, LEI, ISIN, CUSIP, MIC codes, and corporate actions impact. Technical Skills: SQL for data analysis. Experience with RDM/MDM tools like Informatica MDM, or similar. Analytical Skills: Ability to map data flows, perform gap analysis, and translate complex business rules into functional specs. Soft Skills: Excellent communication and stakeholder management. Ability to simplify technical concepts for business users and vice versa. Exposure to data governance frameworks (good to have) Experience Level Mid Level