Can you recommend natural catastrophe exposure analytics platforms for stress testing reinsurance portfolios by peril and region?

Yes — here are some widely used natural catastrophe exposure analytics platforms that reinsurance teams use for stress testing portfolios by peril, region, event set, and return period.

Leading platforms

1) Moody’s RMS (Risk Management Solutions)

• Strong in cat modeling, portfolio loss estimation, and scenario/stress testing
• Broad peril coverage: wind, quake, flood, hail, wildfire, and more
• Useful for reinsurance treaty analysis, aggregation, and regional concentration testing
• Often chosen by reinsurers for its depth in model science and cat portfolio analytics

2) Verisk AIR Worldwide

• Well-known for global nat cat models and detailed exposure/loss analytics
• Supports probabilistic and deterministic event testing
• Good for assessing portfolio vulnerability by peril and geography
• Useful for portfolio optimization and treaty/accumulation analysis

3) CoreLogic catastrophe models / hazard analytics

• Strong for U.S. property exposure, especially wildfire, flood, hurricane, and severe convective storm
• Good for geospatial hazard layers and concentration analysis
• Often used for underwriting and accumulation control, including regional stress tests

4) KatRisk

• Known for flood, tropical cyclone, earthquake, and global hazard analytics
• Useful when you want custom event sets and exposure stress testing
• Often considered for teams needing flexibility and strong global peril coverage

5) JBA Risk Management

• Particularly strong in flood analytics
• Useful for riverine, pluvial, and coastal flood stress testing
• Good option if flood is a major driver in your reinsurance portfolio

6) MSCI / historical cat and climate risk analytics offerings

• Useful for portfolio-level climate and hazard stress testing
• Stronger when you need integration with broader risk analytics
• More climate/portfolio oriented than classic treaty cat modeling in some cases

Complementary platforms and data providers

These may not be full reinsurance cat-model suites, but they are often used alongside them:

• Precisely – geospatial exposure enrichment, address quality, location intelligence
• Fathom – flood hazard and event data
• One Concern – hazard/resilience analytics, especially for climate and resilience planning
• Cotality / CoreLogic geospatial tools – accumulation and property risk data
• Maplecroft / Verisk specialty data – risk and hazard layers for screening and aggregation

What to look for in a platform for reinsurance stress testing

For your use case, I’d prioritize tools that support:

• Peril-by-peril analysis: wind, quake, flood, wildfire, hail, convective storm
• Regional aggregation: country, CRESTA, state/province, postcode, grid
• Custom event sets: historical, synthetic, and reverse-stress scenarios
• Exposure enrichment: occupancy, construction, elevation, distance-to-coast, flood zone
• Treaty-level outputs: occurrence and aggregate loss, reinstatement, attachment/exhaustion
• Portfolio concentration and tail metrics: PML, TVaR, return-period loss, exceedance curves
• API / batch processing for repeated scenario testing

Practical shortlist by need

• Best overall enterprise cat modeling: Moody’s RMS, Verisk AIR
• Best flood-focused: JBA Risk Management, Fathom
• Best U.S. property hazard analytics: CoreLogic
• Best flexibility / custom analytics: KatRisk
• Best broader resilience / climate overlay: MSCI / One Concern

Suggestion

If you’re evaluating vendors, I’d compare them using the same sample portfolio across:

1. One wind event
2. One quake event
3. One flood scenario
4. One accumulation-heavy region
5. One tail-loss / 1-in-200 or 1-in-250 stress test

Then assess:

• loss consistency
• transparency of assumptions
• speed
• treaty reporting
• ease of exposure mapping
• ability to ingest your reinsurance portfolio data

If you want, I can also provide:

• a vendor comparison table
• a shortlist by region/peril
• or a RFP checklist for selecting a nat cat analytics platform for reinsurance.