Insurance

Rapidly analyse
and price exposures across the world simultaneously.

Case Study
Canopius
Lloyd’s of London insurance syndicate
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Being open with our methodology has delivered significant benefits for our insurance clients.

Insurers have achieved a significant competitive advantage in using the latest science and data from Fathom.

Canopius
Lloyd’s of London
insurance syndicate
Canopius is a global specialist (re)insurer with a diverse portfolio of assets.
With particular emphasis on the United States, Canopius need to quantify their exposure to flooding in order to inform pricing and facilitate exposure management.

In the United States, the FEMA flood maps provide some information, but the data is incomplete and often only includes larger rivers. A more comprehensive overview of risk, outside of state-funded hazard layers, can provide an advantage over competitors.
More specifically, Canopius needed to know:

How do we gain a more comprehensive view of flood risk in the United States?  

Are we over-exposed in a particular region?  

Can we gain a competitive advantage?
Our solution
Fathom have built Fathom-US, a spatially-continuous flood model of the US covering both riverine and flash-flood perils.

The data have also been published and validated in world-leading journals, providing transparency and trust.

Fathom also work closely with their clients to ensure their data are integrated and used correctly, as well as building bespoke tools when required.
The results
Canopius have access to a world-leading flood hazard dataset and tools.

This allows them to underwrite new assets and manage their current portfolio with confidence, and, importantly, gain an advantage over competitors.
Testimonial
// Fathom is an innovative and dynamic organisation at the forefront of flood risk research. They offer a range of specialist modelling tools and use a clear and impressive methodology.//
Marek Shafer
Head of Catastrophe Management,
Canopius (Lloyd’s of London insurance syndicate)
Sompo International
International insurance subsidiary & Lloyd’s of
London insurance syndicate
Sompo International is a leading global provider of property and casualty insurance and reinsurance.
Sompo International have operating subsidiaries servicing clients worldwide through platforms in the US, the London Market, Bermuda and Lloyd’s.

They required detailed flood hazard information in order to support risk selection and portfolio management decisions for their international property, marine and energy portfolios.
Questions included:

How can they identify those risks that are exposed to flood hazard and those risks that are not?

How can they measure and manage aggregations of flood risk in a robust manner across all lines of business?

How can they achieve this in the most efficient way possible?
Our solution
Fathom-Global provided detailed, global hazard information for both fluvial and pluvial flood risk for a range of return periods.

The completeness and resolution of this information allowed Sompo International to deploy it in their underwriting workflow in a consistent fashion for all types of risk and across all locations.
Fathom-Global’s flood aggregation zones also allowed them to monitor accumulations and assess the impact of underwriting decisions on the global portfolio.
The results
Flood risk is now a peril analysed by Sompo International using detailed and credible risk intelligence.

This has the potential to improve both underwriting and portfolio management decisions and provides greater certainty in the quantification of a critical catastrophe risk.
Testimonial
// Fathom-Global provided a first-rate product and service based upon cutting-edge research and methodologies, which are both robust and transparent.

Their flood data sets are global, consistent and high calibre. Most importantly, Fathom-Global are a responsive and collaborative firm who consistently deliver superior quality information, insights and solutions. //
Paul McEwan
Sompo International
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Accurately predicting global flood risk is essential to our future.
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