Eve Fang is a trader and financial engineer based in New York with nine years of professional experience and a focused track record in fixed income and derivative hedging. She holds an M.S. in Financial Engineering from Columbia and a B.A. in Applied Mathematics & Data Science from UC Berkeley, combining rigorous quantitative training with practical trading experience. Eve transitioned from academic research on the U.S. housing market at Stanford into quant roles, then built expertise in variable annuity hedging and derivative modeling before returning to Capstone to trade fixed income. She’s skilled at applying ML and statistical models to financial data and brings a hands-on, data-driven approach to risk management and relative value strategies. Notably, her background spans both research and production trading, enabling her to bridge model development and real-world implementation.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA Applied Mathematics Data Science, Bachelor of Arts - BA Applied Mathematics Data Science at University of California, Berkeley
International Baccalaureate Diploma, International Baccalaureate Diploma at High School Affiliated to Nanjing Normal University
Master's degree Financial Engineering, Master's degree Financial Engineering at Columbia University
Contributions:2 PRs, 4 pushes, 2 branches in 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.