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Global Reach and Local Support

As the North American market continues to develop, RMS delivers a vision of risk built on modern science, data, and lessons learned about global events.

Continuing Regional Investment

RMS has released and updated a variety of regional offerings in recent years, such as flood and wildfire, to help (re)insurers manage their risk strategy for the region.

Innovative Offerings

Through RMS Risk Intelligence™ there are a variety of applications available to help you manage your risk strategy.

Focused Solutions

RMS offers market-focused solutions for wildfire, flood, earthquake, tropical cyclones, and more across North America.

Innovative Solutions

Backed by a large global model development team, RMS is committed to the best science in its models and has pioneered many innovations in catastrophe models and risk management.

Extended Peril Coverage

We support your emerging risk strategy by offering extensive model coverage for the region including, flood, wildfire, and hurricane.

Industry Relationships

Our relationships with scientific entities, local engineers, and building structure experts informs our view of risk to integrate key perspectives.

Industry Collaboration

RMS collaborates with top insurers, mitigation experts, and government agencies to ensure our models address market gaps.

Event Response

RMS monitors events 365 days a year to provide industry-leading event response services that enable clients to quickly determine insured exposures.

Business Transformation

We understand your business challenges and develop resilient risk management strategies and solutions that optimize performance,  processes, and information exchange.

Analytical Services

Our worldwide team of 400 analysts offers deep domain and RMS solution experience to expand processing capacity and effective cat risk analysis.

Capital Market Advisory

RMS has the largest, most experienced insurance-linked securities (ILS) team in the market, providing expert risk analyses for a diverse range of perils.

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Getting Ahead of the Curve on Data Quality

Incomplete or inaccurate data assessment can bias model results. In our latest Illustrate case study, we look at how RMS worked with Securis to enhance the quality of its cedant-provided data.

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