Manager, Data Science II
LexisNexis Risk Solutions
Trevis J. Litherland, Ph.D., Manager, Data Science II, LexisNexis Risk Solutions. In over two decades of experience in risk modeling, Trevis has focused on refining and extending numerous risk modeling techniques in both the financial and insurance industries. The first portion of his career was spent in custom credit risk modeling for clients that included credit card issuers, major US banks, auto loan originators, as well as lenders overseas. While at Equifax, he also participated in various R&D initiatives, before moving to the insurance industry at LexisNexis. As LexisNexis his efforts have focused on both telematics and credit-based insurance models, including major custom and generic country-wide scores. Throughout his career, he has served as mentor to junior modelers, sharing hard-won insights into the model development and assessment processes. His academic background is in mathematics, with Ph.D. work at Georgia Tech focusing on probability theory, a technical basis that strongly shapes all his model optimization efforts.
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M-5 - Improved Segmentation and Profitability for Auto
Tuesday, March 19, 2024
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