How can insurers, brokers, and risk managers better understand and adapt to the growing impacts of climate change on catastrophe risks?
Reask is tackling this challenge by leveraging climate science and technology to enhance traditional catastrophe modeling and provide actionable insights for the insurance industry.
Matthew Grant speaks with Jamie, Reask’s CEO, and Ian, Principle Quantitative Engineer, to discuss how their innovative models integrate global climate signals and provide more accurate assessments of hurricane risks, enabling the industry to manage dynamic and long-term challenges.
Key Talking Points:
Discover how Reask enhances traditional catastrophe models with physics-based climate insights.
The distinction between natural climate variability and human-caused change
Why globally connected models help insurers see correlations across regions and diversify portfolios.
How Reask validates data through transparency and peer-review methodologies.
Understand how flexible tools provide actionable insights for immediate and long-term risk assessments.
Why precise data enables parametric insurance policies that are more accurate and efficient.
Insight into how Reask is expanding beyond insurance, using data to predict outcomes like emergency response needs.
You can access the Reask science team’s research and papers here.
If you like what you’re hearing, please leave us a review on whichever platform you use or contact Matthew Grant on LinkedIn.
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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:
Measure the impact of accurate wind speed data on the effectiveness of parametric insurance policies.
Specify the distinctions between natural climate variability and anthropogenic climate change in influencing hurricane risks.
Explain the role of transparency and validation in building trust and credibility for catastrophe models.
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 332 page of the InsTech website or email cpd@instech.co 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.
