Summary
Ivan Cherkashin is an executive data science leader with a PhD in economics and over a decade of applied experience building and validating credit risk and ML models at USAA. He combines rigorous academic training in econometrics and structural modeling with hands-on expertise in model development, validation, and regulatory compliance, having progressed from lead quantitative analyst to Executive Director of Data Science. Ivan is known for translating complex economic and statistical methods into actionable business insights under tight deadlines, and for guiding cross-functional teams through high-stakes model reviews. His background includes academic research and teaching in international trade and labor economics, and consultancy work for The World Bank, reflecting a rare blend of policy-oriented research and production-focused risk analytics.
11 years of coding experience
12 years of employment as a software developer
PhD, Economics, PhD, Economics at Penn State University
BA, Economics, 5.0 out of 5.0, BA, Economics, 5.0 out of 5.0 at State Academic University of Humanitarian Science (former Republic Center of Humanitarian Education)
Master of Arts, Economics, Master of Arts, Economics at New Economic School
Candidat Nauk (PhD), Business groups, investments, Candidat Nauk (PhD), Business groups, investments at Central Economics and Mathematics Institute, Russain Academy of Sciences
Russian, English