Shuntao Chen

Shuntao Chen is a Quantitative Researcher at Aquatic Capital Management in Chicago, IL, where he specializes in Equity Statistical Arbitrage strategies as of April 2024. In this role, he focuses on designing and refining systematic investment strategies within the equities space, leveraging advanced quantitative research to identify and exploit statistical inefficiencies in global stock markets.

Prior to joining Aquatic Capital Management, Chen gained valuable experience as a Quantitative Researcher Intern at Millennium, where he worked on quantitative models and strategies, further honing his expertise in data-driven investment approaches. He also served as a Teaching Assistant at the University of Washington, where he contributed to developing quantitative and analytical skills in students while supporting academic research from 2017 to early 2024.

Chen holds advanced degrees from both the University of Washington and Nankai University, providing him with a strong foundation in quantitative analysis and applied mathematics. His professional focus is centered on equities and systematic trading, and he is recognized for his robust analytical skills in statistical modeling, machine learning, and financial engineering as applied to investment management.