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CASE STUDY

Global Reinsurer: Catastrophe Modelling on Snowflake + Vertex AI

A global reinsurer rebuilt catastrophe modelling on Snowflake + Google Vertex AI. Model run-time reduced 14×; new exposure analysis turnaround days → hours.

May 9, 2026 · 2 min read · By admin
At a glance
14 KEY METRIC
Industry
BFSI
Topics
Data Warehousing · GCP · Predictive Analytics
Published
May 2026
Headline outcome
14 Model run-time: 14× faster

Measured outcomes

What this programme actually delivered.

14

Model run-time: 14× faster

The challenge

A global reinsurer’s catastrophe modelling ran on legacy infrastructure. Each new exposure scenario took 3-7 days to model. Real-time pricing during hard markets was impossible.

What we built

Snowflake-based modelling platform + Vertex AI for ML-augmented scenario generation. Pre-computed exposure cubes. Underwriter-facing UI for scenario exploration.

Outcomes

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