Insurance
Portfolio risk models that forecast catastrophe exposure, climate concentration, and cyber liability accumulation — informing pricing, reinsurance, and capital allocation decisions.
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Industry overview
Predictive modelling systems that forecast emerging portfolio risks — including catastrophe accumulation, climate exposure, and cyber liability concentration — to inform pricing strategy, reinsurance purchasing, and capital allocation.
At a glance
Portfolio risk management requires forward-looking analytics, not just historical loss reporting. Catastrophe accumulation, climate risk concentration, and emerging cyber liability trends cannot be managed by looking in the rear-view mirror. ArrayMatic builds predictive systems that model where portfolio risk is heading — so underwriters and actuaries can act before exposures crystallise.
We integrate catastrophe model outputs with portfolio data to produce accumulation heat maps and PML estimates. Climate risk scoring applies property-level exposure data to climate projections. Cyber portfolio analytics model systemic correlation risk from shared technology dependencies. All outputs feed into capital adequacy models and reinsurance optimisation workflows that help teams structure protection cost-effectively.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to insurance clients.
Catastrophe accumulation and PML estimation
Climate and geospatial risk scoring at property level
Cyber liability systemic correlation modelling
Portfolio exposure aggregation and concentration monitoring
Capital adequacy and solvency modelling
Reinsurance programme optimisation analytics
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