Case Study: Securis Investment Partners improves data quality and risk selection with Moody’s RMS

Getting Ahead of the Curve on Data Quality

Securis Investment Partners, a leading insurance linked securities manager, faced the challenge of incomplete and inaccurate cedant-provided data which could bias their catastrophe model results and impact investment decisions. They engaged Moody’s Analytics to explore how data augmentation tools and techniques, including the RMS Intelligent Risk Platform and Consulting services, could enhance their data quality and risk selection strategies.

Moody’s Analytics conducted a comprehensive data quality assessment and enhancement project, running its specialized analytics to score data for completeness and accuracy. The solution included developing a data quality loading framework and providing pragmatic recommendations for Securis' underwriting workflow. As a result, Securis gained significant insight into the materiality of data quality issues and expects the project to change how they approach specific investment opportunities, leading to better-informed decisions.

Securis Investment Partners

Paul Wilson

Head of Non-Life Analytics