Summary
Nisha Sen is a quantitative associate in New York with a decade of experience applying mathematical and engineering rigor to electronic equities execution at Bank of America. With an MS in Computational Finance from Carnegie Mellon and a BS in Applied Mathematics from UIUC, she blends quantitative modeling, product analytics, and execution consulting to optimize trading platforms. Her background spans cash management product analytics, consumer credit forecasting, and actuarial R&D, giving her a rare cross-domain perspective on risk, data pipelines, and client-facing trading solutions. She has moved from internships in software and AI to strategic quant roles, evidencing both hands-on engineering fluency and institutional trading know-how. Colleagues rely on her for translating complex quantitative ideas into practical execution improvements that drive measurable trading outcomes.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree Applied Mathematics, Bachelor's degree Applied Mathematics at University of Illinois Urbana-Champaign
Master of Science - MS Computational Finance, Master of Science - MS Computational Finance at Carnegie Mellon University
Bengali, English, Spanish, Italian