We are looking for a Risk Analytics professional to join a leading investment banking client supporting their FRTB IMA (Internal Models Approach) implementation program. This role is ideal for candidates with strong quantitative risk background, solid understanding of FRTB IMA methodology, and hands‑on Python skills.
Key Responsibilities
Support FRTB IMA methodology implementation and enhancements
Develop and enhance market risk models (VaR, Expected Shortfall, sensitivities)
Work on P&L Attribution (PLA/PAT) and Risk Factor Eligibility Test (RFET) frameworks
Perform quantitative analysis on market data and time series
Build and maintain Python-based analytics tools and data pipelines
Partner with Risk, Quants, Technology & Front Office teams
Analyze model performance and support regulatory compliance (Basel / BCBS)
Assist in UAT and testing
Must-Have Skills
Strong understanding of FRTB IMA methodology
Experience in Market Risk Analytics / Model Development
Hands‑on experience with:
VaR / Expected Shortfall (ES)
Time Series & Market Data analysis
Risk metrics & sensitivities
Experience working with large datasets and quantitative models
Solid understanding of Basel / FRTB regulations
Preferred / Nice to Have
Hands‑on experience in FRTB IMA implementation
Experience with PLA (P&L Attribution) and RFET frameworks
Familiarity with risk platforms (Murex, Calypso, Athena, in‑house systems)
Knowledge of statistical / stochastic modelling techniques
Experience in Agile or global delivery environments
Education
Bachelor’s / Master’s (or higher) in Mathematics, Statistics, Finance, Engineering, or related quantitative field
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