Zhoutao Zhang is a quantitative researcher and MS Financial Economics candidate at Columbia Business School with 11 years of analytical experience across asset management, hedge funds, and academic research. He has worked on private equity and real estate research at Columbia while contributing quant strategies for global long/short funds and AI-driven macro research in industry internships. His background blends finance and statistics from UBC Sauder with hands-on multi-factor, index boosting, and ALM work at major Chinese securities firms. Comfortable moving between research, teaching, and production analytics, he has taught capital markets and corporate finance and translated academic models into trading-relevant implementations. Notably, he has rotated through both buy-side quant roles and AI macro internships, giving him a practical edge in deploying data-driven strategies across market regimes. Based in New York, he brings a cross-border perspective and a track record of turning rigorous quantitative methods into actionable investment insights.
11 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Financial Economics, Master of Science - MS, Financial Economics at Columbia Business School
Bachelor of Commerce - BCom, Finance and Minor Statistics, Bachelor of Commerce - BCom, Finance and Minor Statistics at UBC Sauder School of Business
Contributions:8 releases, 69 commits, 4 PRs in 5 years 8 months
rest-api
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.