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Financial ServicesSolution

Catastrophe & Risk Exposure Modeling

Model portfolio exposure to catastrophe and climate risk so insurers price, reserve and reinsure with confidence.

Solution
Machine Learning
Industry
Financial Services
Company Size

Solution Overview

industry
Financial Services
solution
Machine Learning
technologies
Microsoft Fabric, Azure Machine Learning, Azure Maps, Power BI, Azure Data Lake Storage, Azure HPC

The Challenge

Exposure to catastrophe and climate risk is spread across policies, geographies, perils and treaty structures, and aggregating it takes weeks of manual work that is out of date before it is finished.

  • 1Exposure scattered across policies, geographies, perils and treaty structures
  • 2Manual aggregation taking weeks and out of date before completion
  • 3Underwriters accepting risk without a live view of accumulation

Our Approach

CloudGate builds a catastrophe and exposure modeling platform on Microsoft Fabric and Azure Machine Learning that aggregates exposure continuously by peril, geography, portfolio and treaty.

  • Continuous exposure aggregation by peril, geography, portfolio and treaty
  • Scenario stress-testing and probable maximum loss estimation on demand
  • Geospatial concentration and accumulation dashboards via Azure Maps

Typical Outcomes

Continuous
PORTFOLIO EXPOSURE QUANTIFICATION
On-demand
SCENARIO AND PML STRESS-TESTING
Pre-bind
ACCUMULATION VISIBILITY FOR UNDERWRITERS

Typical outcomes for this solution pattern, not the results of a named client engagement.

Technologies Used

Microsoft FabricAzure Machine LearningAzure MapsPower BIAzure Data Lake StorageAzure HPC
Full architecture and data flow in the Data & AI Catalog

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