Risk Scores
Simplify interpretation of complex, big data catastrophe simulation with RMS Risk Scores.
eBook: An Insurance Underwriters' Guide
Identify, connect, and surface the right data to quickly inform the best decisions with Location Intelligence.
Fast-Read Catastrophe Insights
RMS Risk Scores concisely capture the science of modeling by expressing risk as a 1 to 10 score with clear definitions for each value to assist with underwriting. Based on industry-leading risk models that are grounded in today’s reality, RMS Risk Scores deliver scientific insight calibrated on billions of dollars of historical claims to capture tomorrow’s risk.
Benefits
Enable Faster and Better Decision-making
RMS Risk Scores provide a simple and easy-to-use score between 1 and 10 that quickly enables users to instantly understand risk to a given peril. The scores can factor different building vulnerabilities to understand the expected response on a given hazard and enable quick decisions on whether to write, refer, or decline a risk.
Simplify Complexity
RMS Risk Scores distill complex model analytics that reflect modeled mean damage ratios into a 1-to-10 scale. This provides users with quick, easy, and informed insight into a location’s damage potential allowing for better decision-making at the point of underwriting
Benefit from Stronger Predictability
Derived from our best-in-class catastrophe models, RMS Risk Scores provide an unparalleled tool to identify and act on locations that are within your risk appetite and likely to drive portfolio losses in a predictive way.
Outperform Your Competition
Risk differentiation is a critical underwriting discipline. Given 10 locations in a single neighborhood that look the same on paper, some will score very differently using Risk Scores. Based on hazard, vulnerability, and precise site conditions, our Risk Scores provide deep insight into location-level catastrophe risk to drive better decision-making and avoid adverse selection.
Related Solutions
Resources
Importance of High-quality Data
Jordan Byk, Senior Director of Product Management, discusses the importance of high-quality data.
Purpose-built Geocoding Data
Chris Sams, Senior Product Manager, discusses the importance of purpose-built geocoding data.
Quality Data at Speed
Oliver Smith, Senior Product Manager, discusses the importance of quality data at speed.
Trepp Announces RMS Integration to Give CMBS Investors Access to Environmental Risk Measures
The Trepp integration of RMS solutions provides an environmental risk score for properties backing commercial mortgage-backed securities (CMBS) loans.
The Data Difference
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Underwriting With 20:20 Vision
Risk data delivered to underwriting platforms via application programming interfaces (API) is bringing granular exposure information and model insights to high-volume risks The insurance industry boasts some of the most sophisticated modeling capabilities in the world. And yet the average property underwriter does not have access to the kind of predictive tools that carriers use at a portfolio level to manage risk aggregation, streamline reinsurance buying…
RMS Data for Underwriting
Carriers want to write better risks, reduce underwriting frictional expense, and build consistency within their portfolios. RMS® Data for Underwriting is a rapidly expanding suite of data delivered instantly at the point of underwriting.
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