Risk Data Management - Senior Risk Analyst

Our client is seeking a highly analytical and detail-oriented professional to join their Data Management team. The role encompasses the acquisition, validation and maintenance of the Market & Time series data that supports trading, risk management, pricing and regulatory reporting. The Ideal candidate will ensure data quality, Consistency and availability of data across systems and will collaborate closely with Risk, operations and IT Stakeholders.

1. Manage the real-time and EoD pricing data for Instruments like Equities, Fixed Income, FX and other Derivatives.
2. Ensure accurate mapping and delivery of market data to trading and risk systems.
3. Laise with external market data vendors (Bloomberg, ICE, Refinitiv, etc.)
4. Manage historical pricing data, yield curves, volatility surfaces and risk factors for modeling and analytics.
5. Collaborate with quantitative teams to validate data inputs for model calibration.
6. Use of reconciliation tools / EUCs to generate and monitor the daily DQ exception and handle it promptly and resolve it within agreed SLA’s
7. Participate in data quality checks, Issue resolution and RCA (root cause analysis) when required.
8. Understand and able to explain reasons for data breaks and follow-up with stakeholders till resolution.
9. Maintenance of static and market data tables and involve with periodic review of static and mapping tables.
10. Support new business initiatives in data management framework, participate in testing of system functions and assist in data projects such as regulatory changes, product expansion and system migrations.

Familiar with concept of Data completeness, data controls, data validations, Lineage and profiling which falls under BCBS 239 principles.

• Undergraduate/Masters degree, preferably in finance, accounting, economics, or risk
• Graduate degree in Finance or Risk.
• Strong understanding of financial markets, Various market products including derivatives
• Familiarity with risk management platforms, data models, and migration techniques.
• Experience with tools like SQL, Python or similar is an added advantage.

Technical knowledge of data management and governance and big data platforms will be preferred.