Our team works alongside our broking team, helping clients to understand and manage their exposure to natural disasters.
Powerful analytic solutions and insight at your fingertips
Natural Catastrophe Analytics provides a data-driven framework to help clients quantify their exposure to natural hazards and make smarter risk and capital decisions.
Our capabilities span probabilistic catastrophe modelling (including RMS, AIR, and bespoke vendor models), reinsurance pricing and structuring, actuarial analytics, capital modelling, and benchmarking. We also support broader risk management strategies, including real-time event monitoring and climate scenario modelling.
Working in tandem with broking teams, our analytics help clients navigate the financial, regulatory, and rating agency implications of risk transfer decisions - empowering them to optimise cover, reduce volatility, and strengthen their bottom line.

Expertise
The Lockton Natural Catastrophe Analytic team has significant expertise that spans the full risk, exposure and capital management spectrum, enabling us to identify the optimal solution to meet our clients’ requirements. This expertise covers the areas of:
Catastrophe
Catastrophe modelling
Hazard mapping
Realistic Disaster Scenario analysis
Corporate
Insurance optimisation
Risk tolerance setting
Realistic Disaster Scenario analysis
Financial institution operational risk analysis
Insurance
Rating agency advisory
Insurance pricing
Market entry
Reinsurance
Reinsurance pricing
Reinsurance structuring optimisation
Market research/benchmarking
Specialty Modelling
Terrorism
Cyber
Agriculture
Pandemics
Alternative Risk Transfer
Retrospective / prospective structured financing solutions
Bespoke Parametric solutions
Protected investment returns
Captives
Optimisation
Total cost of risk transfer
Premium cost allocation
Actuarial & Regulatory
Actuarial due diligence
Capital modelling
Risk management analysis / support
Questions? We'll guide you in the right direction.
Ask us about our products, services or anything else on your mind. Our insurance and risk specialists are here to help.
Talk to our teamNatural Catastrophe Analytics FAQs
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.
With a global footprint of 135+ offices, there’s sure to be one near you.
Find an officeKey Contacts
Claire Taylor
Senior Catastrophe Risk Analyst
claire.taylor@lockton.com
+61 478 998 286
