Summary
Stefan Hilts is a seasoned economist and data scientist with nine years of hands-on experience in credit risk, cash flow modeling, and capital planning, currently leading Solutions for Structured Finance Analytics at Morningstar DBRS in New York. He combines deep econometric and model-validation expertise from senior roles at DBRS, Fitch, and Citi with practical proficiency in SAS, SQL, VBA/Excel, Intex, 1010data, and development experience in R and Python. Stefan has designed firmwide RMBS analytics—including a sustainable home price and mortgage loss model—and has shepherded CCAR conceptual validation for large unsecured portfolios, skills that let him span strategy, project management, algorithm development, and public-facing technical reporting. During a period away from traditional employment he produced independent research on Universal Basic Income and continues to pursue applied socio-economic questions on GitHub, reflecting an atypical blend of policy-oriented research and production-grade analytics.
9 years of coding experience
14 years of employment as a software developer
BA, Economics, BA, Economics at Vanderbilt University