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    Michael Zeng

    Credit risk modeling expert; data scientist; machine learning researcher

    Michael Zeng works in Single Obligor Research, a group that produces credit risk metrics of small businesses, medium-sized enterprises, large corporations, financial institutions, and sovereigns worldwide. Banks, asset managers, insurance companies, accounting firms, and corporations use the group’s models to measure credit risk for a variety of purposes.

    University of California, Berkeley: Master’s, Data Science
    University of Wisconsin Madison: Master’s, Quantitative Finance

    Credit Risk Modeling: Moody’s Analytics delivers award-winning credit models and expert advisory services to provide you with best-in-class credit risk modeling solutions.

    Credit Risk Advisory Services: Moody's Analytics credit risk advisory services enable faster, better informed credit decisions through a holistic and consistent assessment of risk.

    Credit Research: Tap directly into comprehensive credit research from Moody's Analytics and our sister company, Moody's Investors Service, and gain detailed insights into our views on credit-related topics.


    Asset Valuation: Process of determining the fair market or present value of assets using book values.

    Economic Risk Assessment: Quantitative economic assessment to help you understand the impact of forward-looking changes on the performance of your business and portfolios.

    Econometric Modeling: Fully transparent econometric and statistical models to assess performance of geographies, financials and various asset classes.

    Representative Project

    Developing the next-generation public firm EDF model with improved volatility modeling, term structure, and machine learning applications.

    Published Work