Xiaochen Zhang

Xiaochen Zhang is an Algorithmic Trader at PEAK6 in New York, specializing in equities trading since April 2022. In this role, he leverages advanced quantitative and computational methods to develop and implement systematic trading strategies focused primarily on U.S. equity markets.

Prior to his current position, Zhang held roles as a Crypto Trader at PEAK6, where he specialized in digital asset markets, and as a Vice President at Citi, reflecting a strong background in both traditional financial instruments and emerging asset classes such as cryptocurrencies. His expertise spans algorithmic strategy development, risk management, and market structure analysis, particularly within the equities and crypto sectors.

Zhang holds a Master of Science in Computational Finance from Carnegie Mellon University’s Tepper School of Business and a dual Bachelor’s degree in Applied Mathematics and Economics from UCLA. He is recognized for his analytical acumen and his ability to apply mathematical modeling and programming expertise to drive trading efficiency and profitability in rapidly evolving financial markets.