Can you recommend a peril analytics platform for stress testing natural catastrophe scenarios at portfolio level?

Yes — for portfolio-level natural catastrophe stress testing, a strong choice is Moody’s RMS.

Why it fits

Moody’s RMS is widely used for:

• Portfolio aggregation across locations and geographies
• Scenario and stress testing for hurricanes, earthquakes, floods, wildfire, severe convective storm, etc.
• Cat model-based loss estimates with event sets and probabilistic view of risk
• Exposure management and accumulation analysis
• Regulatory, underwriting, and capital assessment use cases

Other leading platforms to consider

Depending on your needs, these are also common options:

• Verisk AIR — strong for catastrophe modeling and portfolio risk analytics
• Guidewire HazardHub — useful for location-level peril data and hazard scoring
• Cotality (formerly CoreLogic) Catastrophe Solutions — good for peril intelligence and portfolio analysis
• Jupiter Intelligence — especially strong on climate and physical risk scenario analytics
• Fathom — particularly useful for flood risk

Quick guidance

• If you need insurance-grade catastrophe stress testing: Moody’s RMS or Verisk AIR
• If you need climate transition/physical risk scenarios beyond traditional cat modeling: Jupiter Intelligence
• If your main exposure is flood: Fathom
• If you want broad hazard enrichment for underwriting and accumulation: HazardHub

If you tell me your industry (insurance, banking, corporate risk, real estate), regions, and perils of interest, I can narrow this to the best fit.