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Matthew Eagle, Head of Global Model Solutions and Advisory: Guy Carpenter: Modelling the future of reinsurance (374)

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Manage episode 508839859 series 3351714
Inhalt bereitgestellt von InsTech. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von InsTech oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this episode, Matthew Grant sits down with Matthew Eagle, Head of Global Model Solutions and Advisory at Guy Carpenter, to explore how one of the industry's most respected voices sees the future of modelling, capital management and advisory in reinsurance.

With three decades of experience, Matthew reflects on what’s changed — and what hasn’t — in how reinsurers view risk. From the early days of catastrophe models to today’s generative AI agents and open modelling platforms, he shares how his team is helping insurers manage volatility, optimise capital and drive profitable growth.

In this episode, Matthew shares:

  • Why flood, wildfire and severe convective storm are the perils to watch — and model — more closely
  • How generative AI is already reshaping pricing, underwriting and actuarial workflows
  • What insurers need to know about build vs buy when it comes to new analytics tools
  • How Guy Carpenter is scaling open-source tech through Oasis and data standardisation
  • What skills are now essential for new analysts entering the industry
  • How AI agents are being used to replicate complex actuarial decisions in seconds
  • Why “good enough” modelling still matters, and where precision can be a false economy
  • The link between terrorism modelling and gaming engines — and what it signals for future innovation

If you like what you’re hearing, please leave us a review on whichever platform you use or contact Richard Hartley or Matthew Grant on LinkedIn.

Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning.

Continuing Professional Development

This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme.

By the end of this podcast, you should be able to meet the following Learning Objectives:

  • Define the evolving skill sets required for analysts working in catastrophe risk and capital modelling.
  • Identify the trade-offs in choosing between ‘build’ and ‘buy’ approaches when adopting new analytical technologies.
  • Produce a framework for helping clients achieve profitable growth, manage volatility and optimise capital.

If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 374 page of the InsTech website or email [email protected] to let us know you have listened to this podcast.

To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.

  continue reading

301 Episoden

Artwork
iconTeilen
 
Manage episode 508839859 series 3351714
Inhalt bereitgestellt von InsTech. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von InsTech oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this episode, Matthew Grant sits down with Matthew Eagle, Head of Global Model Solutions and Advisory at Guy Carpenter, to explore how one of the industry's most respected voices sees the future of modelling, capital management and advisory in reinsurance.

With three decades of experience, Matthew reflects on what’s changed — and what hasn’t — in how reinsurers view risk. From the early days of catastrophe models to today’s generative AI agents and open modelling platforms, he shares how his team is helping insurers manage volatility, optimise capital and drive profitable growth.

In this episode, Matthew shares:

  • Why flood, wildfire and severe convective storm are the perils to watch — and model — more closely
  • How generative AI is already reshaping pricing, underwriting and actuarial workflows
  • What insurers need to know about build vs buy when it comes to new analytics tools
  • How Guy Carpenter is scaling open-source tech through Oasis and data standardisation
  • What skills are now essential for new analysts entering the industry
  • How AI agents are being used to replicate complex actuarial decisions in seconds
  • Why “good enough” modelling still matters, and where precision can be a false economy
  • The link between terrorism modelling and gaming engines — and what it signals for future innovation

If you like what you’re hearing, please leave us a review on whichever platform you use or contact Richard Hartley or Matthew Grant on LinkedIn.

Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning.

Continuing Professional Development

This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme.

By the end of this podcast, you should be able to meet the following Learning Objectives:

  • Define the evolving skill sets required for analysts working in catastrophe risk and capital modelling.
  • Identify the trade-offs in choosing between ‘build’ and ‘buy’ approaches when adopting new analytical technologies.
  • Produce a framework for helping clients achieve profitable growth, manage volatility and optimise capital.

If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 374 page of the InsTech website or email [email protected] to let us know you have listened to this podcast.

To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.

  continue reading

301 Episoden

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