
Thomas M. Prince
Tom Prince is a principal and consulting actuary with Milliman's Property and Casualty Practice. He joined the firm in 2005, and lives in Denver, Colorado.
Experience
Tom's project experience includes economic and financial modeling, reserving and variability analysis, reinsurance analysis, large loss modeling, ratemaking, appraisal and due diligence related to mergers and acquisitions, medical fee schedule repricing, mortality analysis, software development, and special project work. He recently led the development of an AI-powered actuarial chatbot
Tom specializes in commercial property and casualty lines reserving and pricing with a focus on long-tailed lines of business, including workers’ compensation, general liability, automobile liability, medical malpractice, reinsurance, cyber liability, and construction defect insurance.
Tom's clients include insurance and reinsurance companies, rating bureaus, insurance regulators, state funds, self-insurance groups and pools, captive insurers, and individual public and private self-insured employers.
Tom regularly presents at industry and internal forums on generative AI in insurance and also speaks on broader property and casualty actuarial topics. Recent presentations include AI security, governance, and regulatory readiness and risk quantification and mitigation of AI systems at venues, including the Korean Insurance Development Institute (KIDI), the NAIC Big Data and Artificial Intelligence (H) Working Group, AASCIF Annual Conference, and the Intelligent Insurer Generative AI in Insurance Conference. In 2023, Tom co-authored "Exploring Large Language Models: A Guide for Insurance Professionals," published through Milliman Insight.
- Fellow, Casualty Actuarial Society
- Member, American Academy of Actuaries
- BA, Mathematics and Economics, University of Colorado at Boulder
- Milliman Property & Casualty Steering Committee, Artificial Intelligence Representative
- Milliman Marketing Committee