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Risky Science Podcast

Podcast de Risk Market News

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The Risky Science Podcast features conversations with scientists, insurers, investors, portfolio managers, and others about the evolving science of predicting and modeling risk across both natural and man-made perils.

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42 episodios

episode Wildfire's Garbage-In Problem With Brian Bastian artwork

Wildfire's Garbage-In Problem With Brian Bastian

California’s homeowners insurance market, backed by privae capital, is still in retreat. The publicly-backed FAIR Plan is financial buckling. And somewhere in the gap between what the cat models capture and what's actually happening on the ground at the property level, there's a mispricing problem that nobody has fully solved yet. In this episode of The Risky Science Podcast that wraps up my series of conversations from ClimateTech Connect in Washington this past April, I talk with Brian Bastian, Head of Product at Green Shield Risk Solutions — the analytics and MGA operation that's betting mitigation-first underwriting is the answer the admitted market can't quite get to yet.  Subscribe to Risk Market News [https://www.riskmarketnews.com/]

20 de may de 2026 - 25 min
episode Modeling Every Risk for Every Client with Willis' Ben Fidlow artwork

Modeling Every Risk for Every Client with Willis' Ben Fidlow

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 [https://www.riskmarketnews.com/]

13 de may de 2026 - 25 min
episode The LA Fires and the Risk Market Value Chain With Joy Chen artwork

The LA Fires and the Risk Market Value Chain With Joy Chen

The Eaton and Palisades fires are now the most expensive wildfire disaster in U.S. history — and what's happening in Los Angeles right now is a real-time stress test of the entire insurance value chain. From how models priced the risk, to how policies were written and sold, to how claims are being managed on the ground. Joy Chen is a former deputy mayor of Los Angeles with a finance background, and she runs the Every Fire Survivors Network — 10,000-plus Eaton and Palisades survivors. Her group has spent the last year and a half documenting delays, denials, and underpayments among insured survivors. Among the statistics they point to: a $300,000 median gap between expected insurance payouts and actual rebuilding costs, and a recovery pace slower than any previous California wildfire on record — including the Camp Fire. The question is whether these are simply the normal costs and challenges of a large catastrophe, or market signals about model adequacy — and what happens to market confidence, and ultimately to capacity, when the system fails at scale. Subscribe to Risk Market News [https://www.riskmarketnews.com/]

28 de abr de 2026 - 42 min
Muy buenos Podcasts , entretenido y con historias educativas y divertidas depende de lo que cada uno busque. Yo lo suelo usar en el trabajo ya que estoy muchas horas y necesito cancelar el ruido de al rededor , Auriculares y a disfrutar ..!!
Muy buenos Podcasts , entretenido y con historias educativas y divertidas depende de lo que cada uno busque. Yo lo suelo usar en el trabajo ya que estoy muchas horas y necesito cancelar el ruido de al rededor , Auriculares y a disfrutar ..!!
Fantástica aplicación. Yo solo uso los podcast. Por un precio módico los tienes variados y cada vez más.
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