Summary
Jeremy Ashton is a Director of Data Science with over a decade of experience applying predictive modeling and actuarial expertise to long-term care insurance and financial services. He has built and led cross-functional teams of data scientists and actuaries at Genworth to produce SOX-compliant forecasting models that drive risk insight and reserving decisions. Prior roles across Capital One, Wells Fargo, Citi, and Nationwide give him deep grounding in credit risk, loss forecasting, and analytically driven marketing strategy. Known for translating complex actuarial requirements into governed, production-ready models, he blends technical rigor with practical business impact. Based in Richmond, VA, he pairs an economics foundation from Brigham Young University with a track record of sustaining model performance in highly regulated environments.
10 years of coding experience
6 years of employment as a software developer
B.S., Economics, B.S., Economics at Brigham Young University