On-Demand Webinar

Sustainable property pricing for today and tomorrow in an evolving natural catastrophe landscape

Originally presented: April 16 • 9:00 ET • 15:00 CET • Cost: Complimentary

About the webinar

Join us for this pivotal 45-minute session on how insurers can price property risk with greater confidence — even as the natural catastrophe (nat cat) landscape grows more complex.

Why Attend?

Annual nat cat losses are running 25% above the 10-year average – and the drivers aren’t always the catastrophes you’d expect. Secondary perils, long underestimated and difficult to quantify, are reshaping the risk landscape faster than traditional pricing models can keep up.

In this session, SAS, Swiss Re and Definity will share the latest nat cat loss insights and real-world pricing experience to address one of the industry’s most pressing challenges: how to modernize property pricing to remain profitable today – and grow sustainably tomorrow.

What We’ll Cover

  • The shifting global and regional nat cat landscape
  • Climate-driven change and the rise of secondary perils
  • Sustainable property pricing and smarter risk selection
  • Building portfolio resilience for profitable long-term growth

Who Should Attend?

Built for the leaders making property risk decisions, including:

  • Pricing Actuaries
  • Property Underwriters
  • Risk Managers
  • Portfolio Managers

Reserve your spot today for this live executive session.

Have a SAS profile? To complete this form automatically Sign In

*
*
*
*
 
 

All personal information will be handled in accordance with the SAS Privacy Statement.

 
  Yes, I would like to opt-in to receive occasional emails from SAS Institute Inc. and its affiliates about SAS products and services.
 
 

Meet the Experts

Carl Lussier

AVP Personal Lines, Analytics, Data, Innovation, Definity

Ali Shahkarami

Head of RDS Insurance, Risk Data Solutions, Swiss Re

Stefan De Lombaert

Senior Director, Insurance Risk & Fraud Head, SAS

Franklin J Manchester

Global Insurance Strategic Advisor, SAS