Join us for an invite-only breakfast briefing on flood risk modeling for underwriters, exposure managers and pricing teams.
Developed by Swiss Re in partnership with Fathom, this session brings together a select group of CatNet users to explore how flood risk is evolving and how better modeling, richer data and greater transparency can support confident risk evaluation and pricing.
Flood risk remains one of the most complex perils to assess. Unlike other hazards, it is shaped by the interaction of terrain, weather, infrastructure, and human activity – making it inherently difficult to model accurately.
Recent loss trends highlight the scale of the challenge. In 2025, global natural catastrophe losses reached around USD 220 billion, with roughly half of those losses insured, leaving a significant protection gap. At the same time, the nature of risk is shifting: so-called “secondary perils” such as floods, wildfires and storms now account for over 90% of insured losses, no longer secondary in impact, but central to portfolio performance.
This briefing is designed to unpack the complexity of flood risk. We will break down evolving data and modeling advancements shaping the latest global flood maps, and highlight how CatNet users can apply these insights directly to underwriting and pricing decisions.
Throughout the session, speakers will:
- Examine growing impact of secondary perils on underwriting decisions
- Explore the key challenges in modeling flood risk?
- Discuss the critical components of flood modeling
- Show how evolving data and model transparency can support better risk selection and pricing
- Demonstrate practical ways to integrate flood insights into underwriting decisions
Attendance is by invitation only and limited to two people per organization due to space. To request a seat, please complete the form below.
Agenda
08:30
Arrival and welcome reception
09:00
Sessions begin
10:00
Interactive breakout session: applying flood insights in practice
Exploring CatNet with Fathom flood layers, supported by our team
10:30
Event ends