Duc Nguyen

Duc Nguyen is a Quantitative Researcher at Aquatic Capital Management in New York, where he leverages his expertise in quantitative modeling and data-driven investment strategies. At Aquatic, he contributes to the research and development of systematic trading models, with a focus on global equities and multi-asset strategies. His role involves designing and implementing statistical arbitrage and machine learning algorithms tailored to diverse and complex financial markets.

Prior to joining Aquatic, Duc was a Quantitative Research Intern at Squarepoint Capital, where he worked on trading signal research for equity and futures strategies, and served as a Research Assistant at The Wharton School, advancing machine learning methods in financial applications. His background also includes significant research experience in developing quantitative models for asset allocation and risk management.

Duc holds a PhD in Computer Science from the University of Pennsylvania, as well as a Bachelor’s degree in Computer Science and Applied Mathematics from Tufts University. His academic and professional credentials underscore his deep expertise in quantitative methods, systematic investing, and the application of advanced data science techniques to portfolio management.