Description:
Key Responsibilities Risk Engine Development: Design, build, and maintain scalable risk platforms, valuation engines, and P L attribution frameworks using Python.API Integration: Build and support robust REST APIs that interface internal scenario eng Model Implementation: Translate complex quantitative risk models (e.g., Credit Risk, Market Risk, and Greeks) from prototypes or spreadsheets into optimized, production-level libraries. Data Pipelines Automation: Create automated ETL workflows to ingest, clean, and process massive financial datasets …