Catastrophe Risk Modeling: The Backbone of Insurance Underwriting
Catastrophe risk modeling transforms raw geophysical and meteorological data into probabilistic loss estimates that drive underwriting decisions, reinsurance placement, and regulatory capital calculations across the global insurance industry. For chief underwriting officers and reinsurance portfolio managers, selecting the right cat modeling vendor—or combination of vendors—directly impacts pricing accuracy and portfolio resilience.
Market Structure: Beyond the Big Two
The catastrophe modeling market has historically been dominated by two firms: RMS (now Moody's RMS) and AIR Worldwide (now Verisk Extreme Event Solutions). Together they command the majority of market share. However, the landscape has shifted significantly:
| Era | Development | Impact |
|---|---|---|
| 1987–2000s | AIR and RMS establish commercial cat modeling | Proprietary duopoly forms |
| 2007 | Karen Clark founds KCC with open loss platform | First major alternative vendor |
| 2013 | Oasis Loss Modelling Framework launches | Open-source ecosystem enables boutique modelers |
| 2018–present | AI-native firms (Reask, ZestyAI) emerge | Machine learning augments physical models |
Peril-Specific Specialization
While the major vendors offer multi-peril suites, several firms have carved out niches in specific perils:
- Flood
- JBA Risk Management and Fathom (acquired by Swiss Re in 2023) offer high-resolution global flood models that many carriers layer on top of primary vendor outputs for more granular flood exposure analysis.
- Wildfire
- KatRisk (acquired by Technosylva in 2024) combines wildfire behavior simulation with catastrophe modeling, addressing a peril where traditional models have historically underperformed.
- Tropical Cyclone Wind
- Reask uses AI-driven probabilistic hazard maps that provide forward-looking tropical cyclone risk views, complementing traditional stochastic event sets.
Open vs. Proprietary: The Oasis LMF Effect
The Oasis Loss Modelling Framework has fundamentally altered vendor dynamics. With over 90 models from 18+ suppliers available through Oasis, carriers are no longer locked into a single vendor ecosystem. Nasdaq Risk Modelling for Catastrophes operates the first independent multi-vendor platform built on Oasis, enabling side-by-side model comparison without proprietary platform lock-in.
Evaluation Criteria for Cat Model Selection
When evaluating vendors, underwriting leaders typically weigh:
- Model validation — How well did the model backtest against historical events?
- Hazard resolution — Sub-kilometer grids reveal risks that coarser models miss
- Exposure data flexibility — Support for CEDE, OED, and EDM formatted exposures
- Forward-looking capability — Climate-conditioned views vs. historical-only catalogs
- Regulatory acceptance — NAIC and state DOI approval for rate filings