- Design, develop, and maintain backend services using Python
- Build data processing pipelines and APIs supporting Market Risk analytics
- Work closely with Market Risk, Quant, and Business teams to implement risk models and calculations (VaR, sensitivities, stress testing, limits)
- Optimize performance of risk calculations and large data workflows
- Support regulatory-driven enhancements and production issues
Required Skills & Experience:
- Robust Python backend development experience
- Exposure to Market Risk concepts (VaR, FRTB, Greeks, stress testing, P&L; explain)
- Experience with databases (SQL/NoSQL) and data processing frameworks
- Familiarity with REST APIs, microservices, and batch processing
- Understanding of financial market instruments (rates, FX, equities, credit).
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Educational Background - Graduate/ Post-graduate degree with relevant field (Finance/ Economics/ Operation Research/Statistics/ Mathematics/ B.Tech/ MBA/ Data Science) AWSCertified DevOps Engineer)