Stas Melnikov is the Head of Quantitative Research and Risk Data Solutions at SAS. He joined the company in 2019 following roles as Managing Director and Global Head of Investment Risk at Russell Investments and earlier, as Head of Loss Forecasting for JPMorgan Chase’s US residential credit portfolio. With executive experience spanning banking, asset management and software, his expertise includes risk management, modeling, analytics and product strategy. Stas holds an MS in Mathematical Finance from the University of Southern California (USC), dual BS/BA degrees from the University of Redlands, and is a CFA charterholder and a certified Financial Risk Manager (FRM).
A new study spanning more than two decades and more than 500,000 issuer-months presents one of the most accurate and forward-looking models of corporate credit rating transitions to date. By combining machine learning with the SAS® KRIS® 1-year default probability (KDP), the authors show how investors can gain a powerful
