Summary
Pinzhi Chen is a quantitative analyst based in Hong Kong with eight years' experience specializing in fixed income, FX, rates and credit derivative modeling. Currently at UBS, he applies advanced quantitative techniques to price and risk-manage complex instruments across global markets, building on a Master of Finance in Financial Engineering from Tsinghua and a finance undergraduate background from Zhejiang University with an HKUST exchange. Known as a quant researcher on GitHub, he blends rigorous academic training with practical desk-facing implementation, translating stochastic models into production-ready tools. His profile combines deep model development skills with hands-on market experience, and a cross-border academic pedigree that supports both research-driven innovation and pragmatic trading solutions.
8 years of coding experience
2 years of employment as a software developer
Hong Kong University of Science and Technology (HKUST)
Master of Finance Specialized in Financial Engineering and Fintech, Master of Finance Specialized in Financial Engineering and Fintech at Tsinghua University
Bachelor of Economics Major in Finance (Elite Program), Bachelor of Economics Major in Finance (Elite Program) at Zhejiang University
English, Chinese