Tom Prince is a principal and a consulting actuary with Milliman's Property and Casualty Practice. He joined the firm in 2006, and lives in Denver, Colorado.
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 has presented at various Milliman internal and industry forums. He recently led a session at the AASCIF 2024 Annual Conference titled "AI Risk Management: Measuring the Immeasurable" and also led a session alongside a client during the 2020 AASCIF Connection Series titled, "Structured Settlements - Increase Company Profitability and Diversification by Retaining the Liability."
Tom authored the articles, "Exploring large language models: A guide for insurance professionals," and "Developments in Federal Marijuana Policy and Workers' Compensation Insurance," both published through Milliman Insight.
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