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MIT Sloan Experts Series: Data Science for Business

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Roger M Stein

Roger M. Stein has worked for over 30 years leading quantitative and research groups at major financial firms and start-ups while also conducting a broad academic research and teaching agenda  at MIT,  NYU, Hebrew University and elsewhere. He has held senior leadership positions in several financial firms, including serving as President, Moody’s Research Labs and Chief Analytic Officer, State Street GX.   The quantitative and AI tools, models and methodologies that he and his teams have developed have become industry standards.  They are in use today at a hundreds of global financial firms and have formed the basis for financial regulation and congressional legislation.  In addition to his technical publications, Dr. Stein’s  products, research and innovative techniques have also been covered by many popular media  outlines including BloombergThe Economist, The Financial TimesForbes, Globes, The Jerusalem Post, Scientific American, The New Yorker, and WIRED.


He has started and helped found several companies (including BridgeBio which IPOed in 2019), and he is currently involved number of health, finance, social-media and data-driven start-ups.


Dr. Stein also is a TED Speaker with almost 1,000,000 views  and is also the recipient of the Harry Markowitz Award.


He  is also currently on the faculty at both the NYU Stern School of Business where he teaches finance, and at the NYU Center for Data Science where he teaches applied machine learning and analytics.  He is also a visiting professor at Hebrew University, teaching in the FinTech program.  He was was formerly a Senior Lecturer in Finance at the Sloan School, MIT, a researcher at the MIT Laboratory for Financial Engineering and a researcher at The Center for Risk Management Research and UC Berkeley. Dr. Stein’s  research and commercial work focuses on a broad set of topics in quantitative and human decision making.  These include financial risk management, machine learning, AI, FinTech and FinTech strategy, stochastic simulation, quantitative model validation,  systemic risk, innovation financing  and security risks.  In addition, he has done extensive work in biomedical finance including pioneering work in Research Backed Obligations for funding risky, long-shot investments, as well as research in epidemiology and health policy and clinical trial design.   He serves on the editorial boards of several finance and data science journals.


Dr. Stein has published over eighty professional and peer-reviewed academic articles and open-source software, as well as and two books on analytics.   His work is often interdisciplinary and has been published in top-tier journals in a range of disciplines including Science, Finance, Medicine, Machine Learning and Computer Science.  His publications have been cited thousands of times by researchers across a variety of fields,. He has also co-authored two full-length texts on applied analytics: Active Credit Portfolio Management in Practice  (Wiley, 2009), on practical credit risk management; and Seven Methods for Transforming Corporate Data into Business Intelligence (Prentice Hall, 1997), one of the first applied business texts on developing commercial applications of machine learning, AI and data analytics. Stein is a frequent invited speaker at industry, academic and regulatory venues and has also published in popular media including Scientific American and the Wall Street Journal.


In addition to his professional work he was the founder and president of the Consortium for Systemic Risk Analytics at MIT and served on the Board of PlaNet Finance, USA. He is a member of the Advisory Council of the Museum of Mathematics and on the Academic Advisory Board of the EC’s SYstemic Risk Tomography Project (SYRTO).


Dr. Stein holds  Ph.D. and Masters degrees from the Stern School of Business, New York University, and has been practicing Aikido since 1980.


Roger M. Stein