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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Parametric Publishing Podcasts
1
Open Models, Collaboration, and Catastrophe Risk With Oasis’s Dickie Whitaker
41:01
41:01
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41:01
In this episode of the Risky Science Podcast, Dickie Whitaker, CEO of the Oasis Loss Modelling Framework, discusses how open-source catastrophe modeling is transforming the risk ecosystem. Whitaker shares the origin story of Oasis and how the platform is working to lower barriers to entry, spur innovation, and increase transparency in a space long …
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1
Private Credit, Liquidity, Longevity and Life Insurance With S&P’s Carmi Margalit
28:09
28:09
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28:09
As insurers seek higher yields in a persistent high-rate environment, private credit has become an increasingly significant part of portfolio strategies. But with that growth comes a new set of questions—about liquidity, transparency, and the long-term implications for credit quality. Carmi Margalit shares S&P’s analytical framework for assessing t…
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1
Modeling Risk in a Non-Stationary Climate with Dr. Daniel Swain
1:10:57
1:10:57
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1:10:57
After a long hiatus, we’re back—launching a new series of conversations with finance professionals, academic researchers, and technology leaders focused on a rapidly growing and often misunderstood area of risk: modeling. In this episode, we kick things off with a conversation about weather and climate modeling with Dr. Daniel Swain, a climate scie…
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