Summary
Yiming Fu is a quantitative analyst with a decade of experience applying machine learning, econometrics, and industrial-organization research to finance. He holds an MS in Financial Engineering from Columbia and an Honours BSc in Mathematical Applications in Economics & Finance from the University of Toronto. His career spans roles at Societe Generale, UBS (Financing Quant), and Balyasny Asset Management, where he blends data science rigor with production-ready quantitative implementation. Proficient in C++, Python, R, SQL and Stata, he focuses on data processing pipelines and model-driven trading and financing solutions. Based in Hong Kong, he pairs academic depth with hands-on trading desk experience and an eye for translating research into deployable systems. Outside work he writes with a reflective, poetic bent—suggesting a thoughtful approach to problem solving that balances pragmatism and curiosity.
10 years of coding experience
1 year of employment as a software developer
Honours Bachelor's of Science Mathematical Application in Economics & Finance Specialist, Honours Bachelor's of Science Mathematical Application in Economics & Finance Specialist at University of Toronto
Master of Science - MS Financial Engineering, Master of Science - MS Financial Engineering at Columbia University