Prompt
What's the best catastrophe modeling platform for estimating reinsurance treaty losses across multiple perils?
Latest observation
There isn’t a single “best” catastrophe modeling platform for every reinsurance treaty use case, but for estimating treaty losses across multiple perils, the strongest options are usually:
Top enterprise choices
1. Moody’s RMS
- Very widely used in reinsurance treaty pricing and portfolio analytics
- Strong support for multi-peril modeling, event sets, stochastic simulations, and treaty terms/structures
- Good if you need deep industry adoption and robust workflow support
2. Verisk AIR Worldwide
- Also a major platform for reinsurance and portfolio loss estimation
- Broad peril coverage and strong catastrophe analytics
- Often favored for detailed modeling and insurer/reinsurer workflows
3. Aon Impact Forecasting / Impact
- Useful for reinsurance and portfolio-level catastrophe analysis
- Can be attractive if you want consulting plus modeling support
If you want a more open/custom approach
4. Oasis Loss Modelling Framework
- Open-source ecosystem, good for transparency and customization
- Better if you have in-house modelers and want to build bespoke multi-peril workflows
- Less turnkey than commercial vendor models
How to choose
Pick based on:
- Perils covered: hurricane, earthquake, flood, convective storm, wildfire, terrorism, etc.
- Geographic scope: US, Europe, Japan, global
- Treaty complexity: quota share, XoL, aggregate covers, reinstatements, multi-layer programs
- Need for transparency/customization: black-box vendor models vs open framework
- Regulatory / broker / market acceptance
- Integration with underwriting, exposure management, and pricing systems
Practical recommendation
- If you want the most established all-around platform for reinsurance treaty loss estimation: Moody’s RMS or Verisk AIR
- If you want maximum flexibility and transparency: Oasis
- If you want a consulting-backed workflow: Aon
If you want, I can also give you a decision matrix by peril coverage, treaty complexity, and budget.
Observation history
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