New York City Metropolitan Area
• Designed, built, and maintained a full-stack web application for pricing and analyzing financial derivatives using Python, Enaml (for declarative UI), and JavaScript.
• Created interactive visualizations of index performance, risk metrics, and internalization behavior using PlotlyJS and ag-Grid.
• Engineered a time-aware backtesting dataset with point-in-time reference data snapshots, reducing query latency and enhancing performance of an iterative trading strategy simulator.
• Collaborated with stakeholders and quantitative researchers to define and prioritize core features, ensuring technical design was aligned with business goals and implemented using maintainable, testable object-oriented design patterns.
• Integrated kdb+/q database queries into a Python application, enabling real-time data extraction, transformation, and presentation for fast, user-friendly insights.
• Developed reusable React components to standardize UI patterns and improve global team productivity.