oracle
Security Master SME
EXL
Chicago, USA
Full-time
Senior · 10+ years experience
Hybrid
USD 140000-160000 yearly / year
Discovered Today
BloombergRefinitiv/LSEGFactSetICE Data ServicesSQLPostgreSQL
Free
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BloombergRefinitiv/LSEGFactSet
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BloombergRefinitiv/LSEGFactSetICE Data ServicesSQLPostgreSQL
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Responsibilities
- Serve as the primary domain expert for Security Master bond data covering equities, fixed income, structured products, corporate bond, Muni Bond and derivatives.
- Establish data quality rules, validation logic, and exception handling workflows for Security and Entity Master records.
- Collaborate with the MDM Architect and backend teams to translate business data requirements into technical data models and API specifications.
- Define reference data hierarchies: asset class taxonomies, sector/industry classifications (GICS, SIC), rating categories, and issuer hierarchies.
- Map and rationalize data feeds from external providers (Bloomberg, Refinitiv/LSEG, FactSet, ICE) and internal source systems.
- Partner with data stewards and governance teams to establish data ownership, lineage, and change management processes.
- Support QA teams in building test scenarios and validation frameworks based on domain rules.
- Conduct data profiling, gap analysis, and quality assessments on incoming security and entity data.
- Provide domain guidance during system design reviews and client-facing workshops.
- Stay current with industry standards: ANNA, GLEIF, FIGI (OMG), ISO 4914, and regulatory reporting requirements (MiFID II, SEC).
Qualifications
- Bachelor's degree or equivalent
- 10+ years of experience in financial data management, with at least 6 years as a Security Master or Reference Data SME.
- Deep knowledge of financial instruments: equities, corporate/government bonds, structured products (ABS, MBS), and derivatives.
- Hands-on experience with major data vendors: Bloomberg, Refinitiv/LSEG, FactSet, ICE Data Services.
- Experience at a credit ratings agency (Fitch, S&P, Moody's) or equivalent financial data organization strongly preferred.
- Proficiency in SQL for data analysis and validation using PostgreSQL or Oracle.
- Authoritative knowledge of security and entity data: lifecycle, corporate actions, ratings linkage, and classification taxonomies.
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