Powerful analytic solutions and insight at your fingertips
Our Natural Catastrophe Analysis capability supports clients in identifying, quantifying, and managing exposure to natural hazards such as flood, cyclone, bushfire, earthquake, and severe storm.
Using advanced catastrophe modelling and location-specific data, we help clients move beyond minimum compliance and make informed decisions on risk mitigation, asset resilience, and insurance program design - both before and after a loss event.
Our Products and Services
Our Practice Areas:
Catastrophe modelling and exposure analysis: Probabilistic modelling to assess potential loss outcomes from natural hazards such as flood, cyclone, bushfire, earthquake and severe storm, using industry-leading vendor models and location-specific data.
Portfolio and site-level risk insights: Identification of risk drivers across portfolios, including geographic concentration, asset vulnerability, and hazard severity, to support informed risk management and insurance decisions.
Loss metrics and scenario testing: Development of key risk metrics such as Probable Maximum Loss (PML), Average Annual Loss (AAL), and exceedance probability curves, alongside scenario testing of historical and hypothetical events.
Flood and hazard-specific analysis: High-resolution hazard mapping, including flood depth and return-period analysis, to support site-specific risk understanding and targeted mitigation strategies.
Insurance program optimisation: Data-driven insights to support appropriate limit setting, deductibles, risk retention strategies, and constructive engagement with insurers.
Live event and post-event modelling support: Rapid loss estimation and asset impact analysis during or immediately following catastrophe events to support operational response, claims planning and insurer engagement.
Climate risk and regulatory support: Climate scenario modelling and forward-looking risk analysis aligned to emerging climate-related financial disclosure and regulatory requirements across Australia and New Zealand.
Why partner with us?
Deep catastrophe analytics expertise: Specialist capability across natural hazard modelling, exposure analysis and loss quantification.
Industry-leading models and data: Access to best-in-class catastrophe models and high-resolution, location-specific data to support robust insights.
Insurance-focused outcomes: Practical analysis aligned to how insurers assess risk, structure programs and respond to catastrophe losses.
Actionable, decision-ready insights: Clear outputs that support risk mitigation, capital planning and confident insurance decisions.
End-to-end support: Expertise spanning portfolio analysis, live event response and post-event recovery support.
Natural Catastrophe Analytics involves using advanced data models to assess the potential financial impact of events such as earthquakes, floods, cyclones, and bushfires. These insights help organisations understand their exposure, manage risk more effectively, and make informed insurance and reinsurance decisions.
How does catastrophe modelling work?
Catastrophe modelling combines hazard data, historical event information, and exposure details to simulate thousands of potential disaster scenarios. This probabilistic approach provides a more accurate view of potential losses than relying on historical events alone.
Who should consider using Natural Catastrophe Analytics?
Any business with significant property or asset portfolios - particularly those with locations across different regions - can benefit. It is especially useful for risk managers, insurance buyers, and brokers seeking to optimise coverage and demonstrate risk insights to underwriters or boards.
What information is needed to run a catastrophe model?
Typically, detailed asset-level information is required, such as geographic location, building use, construction type, occupancy, and replacement values. The accuracy of model outputs depends heavily on the quality and completeness of this data.
Lockton’s Risk Consulting team delivered data-driven natural catastrophe insights that strengthened our understanding of exposure across our critical infrastructure portfolio. Their modelling enabled informed decisions to enhance our resilience planning.
Risk Manager, Utilities and Infrastructure, Pacific region
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