Sarthak Behl

Sarthak Behl is a Quantitative Researcher at Walleye Capital in New York, NY, specializing in the development and implementation of systematic trading strategies and advanced financial analytics for liquid asset classes. In this role, he focuses on quantitative research involving derivatives and high-frequency trading across major financial markets, leveraging machine learning and statistical modeling to improve trading outcomes.

Before joining Walleye Capital, Sarthak served as a Quantitative Analyst at Chicago Trading Company, where he contributed to the design and optimization of algorithmic trading models, further strengthening his expertise in derivatives and risk management. His career also includes experience as an Angel Investor and work on consumer product machine learning features, demonstrating a versatile application of computational and analytical skills in both finance and technology sectors.

Sarthak holds a Master of Science in Computer Science with a specialization in Artificial Intelligence and a Bachelor of Science in Computer Science from Georgia Institute of Technology. His significant contributions to the investment industry include deploying novel derivative trading strategies and advancing the use of machine learning within quantitative finance.