Matthew S Rothman Millennium Head of Statistical Arbitrage Strategies, MIT Sloan School of Management Faculty Cornell University Speaker


Cornell Financial Engineering 2026 Ai & Future of Finance Conference

Matthew Rothman is a quantitative finance executive, researcher, and educator whose career spans more than three decades across many of the world’s leading investment banks, hedge funds, asset managers, and academic institutions. He currently serves as Head of Statistical Arbitrage Strategies and Head of Quantitative Advisory Services at Millennium Management, where he leads the development of systematic investment strategies and provides quantitative research and portfolio advisory expertise across the firm’s investment platform.
In parallel with his industry leadership, Dr. Rothman has served as a Senior Lecturer in Finance at the MIT Sloan School of Management since 2017, teaching graduate-level courses in quantitative investing, asset pricing, and systematic portfolio management. His work has helped bridge academic finance with real-world quantitative investing, making him a respected voice among both practitioners and students.
Before joining Millennium, Dr. Rothman was a Managing Director at Goldman Sachs, following his role as Head of Global Quantitative Equity Research at Credit Suisse. Earlier, he served as Director of Quantitative Global Macro Research at Acadian Asset Management, where he led top-down systematic research across global markets. His career also includes serving as Global Head of Quantitative Equity Research at both Barclays Capital and Lehman Brothers, as well as senior quantitative research roles at Sanford C. Bernstein and Goldman Sachs Asset Management.
Throughout his career, Dr. Rothman has specialized in quantitative equity investing, statistical arbitrage, factor modeling, portfolio construction, machine learning applications in finance, and global macro investing. His research has contributed to the advancement of systematic investment processes used by institutional investors, hedge funds, and asset managers worldwide.
Dr. Rothman earned a Ph.D. in Finance from the University of Chicago Booth School of Business, an M.A. in Statistics from Columbia University, and an A.B. in Philosophy from Brown University. His combination of rigorous academic training and extensive leadership experience across Wall Street and quantitative investing has established him as one of the field’s leading experts in systematic investment research and quantitative finance.
Cornell Financial Engineering 2026 Ai & Future of Finance Conference



