Stephen Zhu

Stephen Zhu is currently a Quantitative Researcher at THE TUDOR GROUP, based in Chicago, IL. In this capacity, he leverages advanced quantitative modeling, data analysis, and algorithmic techniques to support investment strategies and manage risk at the firm. His research is likely focused on liquid asset classes, such as equities and macro products, which aligns with Tudor’s historical strengths in global macro and systematic trading strategies.

Prior to joining THE TUDOR GROUP, Stephen Zhu served as a Machine Learning Engineer at TRM Labs, contributing to the development of data-driven solutions for blockchain analytics and risk management in cryptocurrency markets. He also held a role as Quantitative Developer at Citadel LLC, where he specialized in algorithmic trading systems and financial mathematics for multi-asset portfolios. Throughout his career, Stephen has worked across traditional financial markets and digital asset sectors, blending quant research and engineering expertise.

Stephen Zhu holds a Bachelor’s Degree in Business Administration, Financial Mathematics, and Computer Science from the University of Michigan’s Stephen M. Ross School of Business. His technical skills span quantitative research, machine learning, and software engineering, which he has applied to investment management and fintech innovation. With a track record at industry-leading firms, Stephen has contributed to advancements in systematic trading and the integration of AI within investment research.