معرفی
Roger M. Stein is a Senior Lecturer in Finance at the MIT Sloan School of Management and a Research Affiliate at the MIT Laboratory for Financial Engineering. He is also an Affiliated Researcher at the Center for Risk Management Research, University of California, Berkeley. His work bridges academic research and industry application in financial risk modeling and data analytics.
His research focuses on systemic risk, credit risk, model risk and validation, and the integration of data mining with financial theory. These interests are reflected in his extensive publications and industry innovations, particularly in credit risk modeling and financial prediction systems.
His publications show a strong trend in applying quantitative methods to financial risk, with a focus on practical implementation in banking and finance. Key areas include credit portfolio management, model validation, and the use of big data in financial decision-making.
- Co-author, Active Credit Portfolio Management in Practice (Wiley, 2009)
- Co-author, Seven Methods for Transforming Corporate Data into Business Intelligence (Prentice Hall, 1997)
Dr. Stein has served on the editorial boards of several finance journals and is a frequent speaker at academic and regulatory forums. He advises on systemic risk through roles in the Consortium for Systemic Risk Analytics and the EC’s SYRTO project. He has led major research teams at Moody’s Research Labs and State Street GX, driving innovation in financial analytics.
He is affiliated with several organizations, including the Advisory Council of the Museum of Mathematics, the Board of PlaNet Finance USA, and the Academic Advisory Board of the SYRTO project. These reflect his commitment to applying quantitative methods to social and systemic challenges.
