Redesigned and engineered the next generation of asset liability modeling, building the backbone of Fidelity’s financial planning and research engine by analyzing portfolio data and market risks to forecast their financial future (Java, Spring, Cucumber)

Designed and developed enterprise-level web services using SOAP and REST APIs (Java, Spring, SQL)

Led efforts in developing tools that employ root-finding algorithms to determine optimal retirement investment strategies; worked extensively with partners across multiple teams to drive decision making

Integrated Monte Carlo simulations to project potential market conditions, providing projections at confidence levels to better inform financial planning

Built simulation models in Python and Excel for automated regression testing