Mao Zhou is a quantitative portfolio manager with 8 years’ experience building and deploying data-driven trading strategies across equities, commodities and pension mandates at leading Chinese and international firms. He blends a rigorous academic foundation (BSc Mathematics with Finance, MSc Statistics) with hands-on expertise in Python, C, R, SQL and MATLAB to deliver machine-learning based forecasting, automated strategy generation and high-Sharpe live trading systems. At Essence and Huatai he published applied research, authored a patent for auto-generating time-series trading strategies and built widely used trading software that democratizes strategy creation. His work spans statistical inference, time series, Monte Carlo simulation and financial mathematics, and he has a track record of translating complex models into production databases and automated trading infrastructure. Based in Pudong, Shanghai, he is unusually comfortable straddling deep research and production engineering while maintaining strong results in live portfolios.
8 years of coding experience
7 years of employment as a software developer
Master's Degree, Statistics, GPA 3.8, Master's Degree, Statistics, GPA 3.8 at University of California, Berkeley
Bachelor of Science (BSc), Mathematics with Finance, First Class Honors (GPA 4.0/4.0, UK to USA), Bachelor of Science (BSc), Mathematics with Finance, First Class Honors (GPA 4.0/4.0, UK to USA) at University of Liverpool
High School, High School at Suzhou High School of Jiangsu Province
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