RMS Builds on Its Risk Modeler Cloud-Based Application

NEWARK, CA – May 7, 2021 – At its annual Exceedance conference this week, RMS^®, the world’s leading catastrophe risk solutions company, demonstrated the benefits (re)insurance customers are experiencing by moving to RMS Risk Modeler™, the cloud-based risk modeling application running on the RMS open cloud platform, Risk Intelligence™.

Risk Modeler, a next-generation cloud-based modeling application, is designed to meet the complex needs of risk analysts and cat modelers at scale. Risk Modeler enables real-time risk analytics and unified, high-performance execution of RiskLink models and High-Definition (HD) simulation models. Designed with a deep understanding of customer requirements and leveraging the latest technological innovations, Risk Modeler easily integrates with other on-premise applications as well as other cloud applications through open APIs and export services, giving customers greater flexibility and choice.

This week at Exceedance, the industry has heard from RMS customers about the advantages they are gaining by adopting Risk Modeler to help manage their risk portfolios.  

Gallagher Re, Price Forbes & Partners Ltd, and Unipol spoke during the conference keynotes about their experiences with Risk Modeler to date. Howden Group also shared their insights on the benefits of Risk Modeler. 

Neil Bramley, analytics executive, Gallagher Re, “Gallagher was keen to take advantage of the SaaS Solution, pushing the technology harder and faster, leveraging the benefits and scale of secure cloud computing to ultimately create tangible advantage and upsides for our clients. Risk Modeler helped us grow our analytical capability tremendously and our usage stats are through the roof compared to last year, with the added benefit of zero downtime whenever our divisions are looking to access new functionality and solutions.”

Gian Luca De Marchi, group chief risk officer, Unipol Gruppo S.p.A., “Risk modeling through the Risk Modeler application allows us to run portfolio analyses and to support risk management assessments for risk profiling, risk monitoring, capital allocation, and optimal risk transfer. Now, the RMS models could help us in moving to an internal model, reducing the gap between economic capital and regulatory capital, and provide robust support in meeting regulatory requirements in particular in relation to stress tests.”

David Flandro, managing director, Head of HX Analytics, Howden Group, “Risk Modeler together with RMS’s trusted science is an important part of our analytics ecosystem that helps Howden provide a differentiated service to our clients and partners. The SaaS delivery and API-based development framework is well positioned to help service our digital-first vision with distinction.” 

Alexander Hanks, executive director, head of actuarial & analytics, Price Forbes & Partners Ltd, “We worked with RMS as early adopters, making full use of Risk Modeler’s API first development approach to fully integrate modeling with our own cloud tools, switching off RiskLink and RiskBrowser in the process. Gone are the days of manually working with spreadsheets, copying and pasting and relying on manually re-running modeling of jobs.  The automation work has taken manual time-consuming tasks away and we're able to spend much more time on interpreting modeling results and providing deeper insights to our clients.”

Speaking at the conference, RMS CEO, Karen White, said, “When RMS launched Risk Modeler 2.0 in 2020, more customers started on their cloud migration with us. We are seeing more momentum in the industry for digital first strategies. Today, insurers, reinsurers, and brokers from every major global geographic region are on the RMS platform. Leveraging leading models, technology, and the cloud to gain greater risk insights helps them to avoid surprises, confidently deploy more capital, and potentially develop new products and new business models.”