Kunal Goyal

Kunal Goyal is a Quantitative Researcher at Aquatic Capital Management, a systematic investment management firm headquartered in Chicago, IL. Since joining Aquatic in September 2020, he has been responsible for designing and implementing quantitative strategies, focusing on leveraging advanced statistical modeling and machine learning techniques to optimize performance across the firm's portfolios. His work is concentrated within systematic trading strategies, applying robust algorithms to liquid asset classes where data-driven approaches provide an edge.

Prior to his current role, Goyal built his career in quantitative finance at prestigious firms, including Coatue Management, where he worked as a Quantitative Researcher, and AQR Capital Management as a Research Analyst. At these firms, he contributed to research and development within multi-asset strategies, equities, and statistical arbitrage—gaining hands-on exposure to the intersection of technology and financial markets.

Goyal holds three Bachelor's degrees in Mathematics, Computer Science, and Statistics from The University of Chicago, providing him with a solid foundation in both theoretical and applied quantitative disciplines. His expertise spans statistical modeling, portfolio optimization, and machine learning. Recognized for his analytical rigor and innovative research, he is part of Aquatic's team focused on developing systematic strategies for liquid financial markets, making notable contributions to the evolution of quantitative investing.