Created and deployed the Control Analytics and Reporting Engine (CARE), which uses historical data and quantitative methodologies to set and monitor trading limits automatically.

Objective: To enhance trading limit management and risk control through automation.

Approach: Created and deployed the Control Analytics and Reporting Engine (CARE), which uses historical data and quantitative methodologies to set and monitor trading limits automatically. The system leveraged advanced analytics and machine learning algorithms to continuously assess and adjust trading limits based on real-time data. Conducted extensive testing and validation to ensure the system's accuracy and reliability. Collaborated with risk management and trading teams to integrate CARE into the existing trading infrastructure, providing a seamless and user-friendly experience.

Outcome: The implementation of CARE resulted in more accurate and timely risk assessments, reducing the occurrence of limit breaches by 30%. This system also improved overall trading discipline and operational efficiency. The successful deployment of CARE enhanced the firm's risk management capabilities and contributed to more effective and compliant trading operations.