Key Takeaways
- • Matthew S Rothman serves as Head of Statistical Arbitrage Strategies and Head of Quantitative Advisory Services at Millennium Management, leading systematic investment strategy development and quantitative research across the firm's investment platform.
- • Rothman holds a dual leadership position as Senior Lecturer in Finance at MIT Sloan School of Management since 2017, teaching graduate-level courses in quantitative investing, asset pricing, and systematic portfolio management while maintaining his industry role.
- • His 30+ year career spans leading global investment banks and asset managers including Goldman Sachs (Managing Director), Credit Suisse (Head of Global Quantitative Equity Research), Barclays Capital, Lehman Brothers, and Acadian Asset Management.
- • Core expertise encompasses quantitative equity investing, statistical arbitrage, factor modeling, portfolio construction, machine learning applications in finance, and global macro investing strategies.
- • Rothman bridges academic finance with institutional quantitative investing practice, positioning him as a recognized authority among both academic researchers and investment professionals in the systematic strategy space.
Summary
Matthew S Rothman holds a prominent dual appointment as Head of Statistical Arbitrage Strategies and Head of Quantitative Advisory Services at Millennium Management, one of the largest multi-strategy hedge funds globally, while simultaneously serving as Senior Lecturer in Finance at MIT Sloan School of Management. This combined role reflects a rare convergence of cutting-edge industry practice and academic instruction in quantitative finance.
At Millennium Management, Rothman leads the development of systematic investment strategies and delivers quantitative research and portfolio advisory services across the firm's institutional investment platform. Since joining MIT Sloan in 2017, he has taught graduate-level courses focused on quantitative investing methodologies, asset pricing models, and systematic portfolio management—subjects directly informed by his extensive practitioner experience.
Rothman's career trajectory spans more than three decades across the world's most prominent investment institutions. He served as Managing Director at Goldman Sachs and held the position of Head of Global Quantitative Equity Research at Credit Suisse. Earlier roles included Director of Quantitative Global Macro Research at Acadian Asset Management, where he led top-down systematic research across global markets, as well as senior quantitative research positions at Barclays Capital, Lehman Brothers, Sanford C. Bernstein, and Goldman Sachs Asset Management.
His specialized expertise encompasses quantitative equity investing, statistical arbitrage strategies, factor modeling and analysis, portfolio construction methodologies, machine learning applications in financial markets, and global macro systematic investing. This combination of deep technical knowledge and multi-decade institutional experience has established Rothman as a respected voice in bridging academic finance theory with real-world quantitative investment implementation—a role increasingly critical as institutional investors and hedge funds expand their systematic and algorithmic capabilities.
At Millennium Management, Rothman leads the development of systematic investment strategies and delivers quantitative research and portfolio advisory services across the firm's institutional investment platform. Since joining MIT Sloan in 2017, he has taught graduate-level courses focused on quantitative investing methodologies, asset pricing models, and systematic portfolio management—subjects directly informed by his extensive practitioner experience.
Rothman's career trajectory spans more than three decades across the world's most prominent investment institutions. He served as Managing Director at Goldman Sachs and held the position of Head of Global Quantitative Equity Research at Credit Suisse. Earlier roles included Director of Quantitative Global Macro Research at Acadian Asset Management, where he led top-down systematic research across global markets, as well as senior quantitative research positions at Barclays Capital, Lehman Brothers, Sanford C. Bernstein, and Goldman Sachs Asset Management.
His specialized expertise encompasses quantitative equity investing, statistical arbitrage strategies, factor modeling and analysis, portfolio construction methodologies, machine learning applications in financial markets, and global macro systematic investing. This combination of deep technical knowledge and multi-decade institutional experience has established Rothman as a respected voice in bridging academic finance theory with real-world quantitative investment implementation—a role increasingly critical as institutional investors and hedge funds expand their systematic and algorithmic capabilities.
Go deeper than the headline
Research every firm in this story, track the ones that matter and get the daily briefing — free for 7 days.