Summary
Jian Liu is a quantitative founder and machine learning practitioner with a decade of experience applying stochastic calculus, option pricing and algorithmic trading techniques across banks, crypto and hedge fund environments. He progressed from quantitative analyst and automated trading strategist roles at Bank of America and JPMorgan to quantitative trader at HashKey and researcher at Athena Capital before co-founding ScaleAlpha and Linear Space Group to productize ML-driven trading and analytics. Proficient in C++, Python, R, MATLAB and SQL, he has a strong track record automating risk models (including SIMM implementations), back-testing portfolio strategies and building production-ready trading signals. Based in Hong Kong with a math and computational sciences background and a master’s in quantitative finance, he blends academic rigor with hands-on engineering to close the gap between research and live trading. An appetite for practical data mining and financial time-series engineering means he often focuses on reproducible, automated pipelines that reveal subtle alpha.
10 years of coding experience
5 years of employment as a software developer
master Quantitative Finance, master Quantitative Finance at Rutgers Business School
Bachelor's degree Mathematics and Computer Science, Bachelor's degree Mathematics and Computer Science at Sun Yat-sen University
English, Chinese, Chinese