(Summary generated by AI based on the full job description)
The project focuses on financial collateral management with emphasis on quantitative risk modeling and system implementation for SIMM, IM, VM. Core technologies include Python (Pandas, NumPy, scikit-learn) and SQL for handling large datasets. Responsibilities cover design and validation of risk models, calibration and backtesting, market data analysis, and model integration into operational systems. Engagement is within a financial institution aiming at continuous improvement of collateral processes.

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