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Reference Data Business Analyst
Expert In Recruitment Solutions
- United States
- United States
Über
Location: Tampa FL
MUST BE LOCAL to Tampa area
Hybrid (2 days in Tampa office)
Interview mode: Video
MUST HAVE BANKING EXPERIENCE
Role Overview
We are seeking an experienced Reference Data Business Analyst to support enterprise data initiatives across trading, risk, operations, and regulatory reporting. The ideal candidate will have deep knowledge of financial instruments, market data, and security master data, with the ability to bridge business stakeholders and technology teams.
Responsibilities Gather, analyze, and document business requirements related to
security master, pricing, corporate actions, counterparty, and instrument reference data Partner with Front Office, Operations, Risk, Compliance, and Technology teams to define data standards and governance controls Map data lineage and perform gap analysis across upstream and downstream systems Support implementation of data platforms (e.g., golden source, MDM, data lakes) Define data quality rules, controls, and KPIs Work on regulatory initiatives (e.g., CAT, TRACE, EMIR, SFTR, SEC reporting) Create BRDs, FRDs, user stories, and process flows Assist with UAT coordination and defect resolution Support data reconciliation and remediation efforts
Required Experience
5+ years as a Business Analyst within capital markets or banking Strong understanding of: Equities, Fixed Income, Derivatives, Structured Products Security identifiers (CUSIP, ISIN, SEDOL, Bloomberg, Reuters) Pricing & valuation data Corporate actions processing
Experience with data governance frameworks and data quality controls Familiarity with SQL and ability to query large datasets Experience with vendor data feeds (Bloomberg, Refinitiv, ICE, Markit) Knowledge of regulatory reporting requirements
Preferred Qualifications
Experience with MDM platforms (e.g., GoldenSource, Informatica MDM, Markit EDM) Knowledge of cloud data platforms (AWS, Azure, Snowflake) Experience in Agile/Scrum environments Understanding of data lineage and metadata tools (Collibra, Alation)
Key Competencies
Strong analytical and problem-solving skills Ability to translate business needs into technical specifications Stakeholder management across multiple functions Attention to detail and data accuracy Excellent communication skills
Sprachkenntnisse
- English
Hinweis für Nutzer
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