Modeling Every Risk for Every Client with Willis' Ben Fidlow

About this episode

Ben Fidlow discusses the nuances of brokerage modeling and its implications for client-specific risk assessment.

Ben Fidlow is a Fellow of the Casualty Actuarial Society and leads analytics and risk advisory at Willis. In this episode, he explains how brokerage modeling differs fundamentally from carrier or vendor modeling — it's about what risk means to a specific client, not an aggregate book. He walks through Willis's expanded partnership with Moody's RMS, which lets his team layer their own climate extrapolations on top of current-day model outputs while retaining the ability to explain every step to clients. He also shares where he thinks AI is creating its most immediate value (converting unstructured client data into structured formats at scale), why federal data erosion is a real near-term problem, and what it would take for a direct capital market risk marketplace to eventually disintermediate both insurers and brokers. Subscribe to Risk Market New

People in this episode

Guest: Ben Fidlow

Topics covered

• risk modeling
• analytics
• climate data
• AI in risk management
• insurance industry
• client-specific risk

Keywords

• risk modeling
• analytics
• climate extrapolations
• AI
• insurance
• data erosion
• capital markets

Mentioned in this episode

Organizations: Willis, Casualty Actuarial Society, Moody's RMS

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