Daniel Zhou

Daniel Zhou is a Quantitative Analyst at Tudor Investment Corporation in New York, responsible for developing and implementing quantitative models to inform investment strategies and risk management. Since joining Tudor in 2021, he has focused on applying advanced computational techniques and statistical methods to macroeconomic data and multi-asset portfolios, supporting the firm's global macro investment approach.

Daniel's recent experience includes a prior internship at Tudor Investment Corporation, as well as an academic appointment as a Grader for the Capital Markets Curriculum at the Kellogg School of Management, Northwestern University. His expertise centers on quantitative research and analytics for capital markets, with a particular emphasis on fixed income, currencies, commodities, and macroeconomic trend identification—core components of Tudor's investment universe.

He holds a Master of Science (MS) in Computational Finance from Carnegie Mellon University's Tepper School of Business and a Bachelor of Science in Statistics, Journalism, and Economics from Northwestern University, including a Financial Economics Certificate from Kellogg. Daniel's cross-disciplinary training in finance, statistics, and economics informs his data-driven, systematic approach to investment and risk analysis.