A sponsored webcast in partnership with PropertyCasualty360 in April 2022
Following another significant year of insured catastrophe losses, carriers will be assessing their performance for the year ahead. Historically, positive investment returns and effective portfolio management alone may have been sufficient to remain profitable – but times are changing. The insurance industry continues to see capacity squeeze margins and diminish returns, along with increasing catastrophe losses and changing consumer habits. The need to become more rigorous, yet nimble, in underwriting has never been more critical. Many innovative insurers are doubling down on their digital underwriting efforts to drive more efficiencies. The winners will be those that can combine better quality location data with speed to make smarter decisions, faster.
Join us as we uncover the role that quality model derivative data can play in improving business outcomes. You’ll also learn how:
- Faster quoting and increased automation can drive lower expense ratios, higher productivity, and improved overall operational performance
- To improve your risk selection to avoid adverse risks that are not aligned with risk appetite
- To implement risk-adequate pricing and premiums for better loss ratios
- And more!
Senior Director, Product Management | Risk Management Solutions
During his 15 years at RMS, Jordan has led product and services management for weather risk derivatives modeling, geospatial modeling, hazard retrieval, exposure data, and exposure analytics applications. Jordan has also worked on market-leading geospatial/exposure capture for modeling of infrastructure exposures in the energy, transportation, utility, and telecommunications markets. Jordan holds an MBA in finance/marketing from Rutgers University and BS in computer science/business management from Carnegie Mellon University.
Senior Product Manager, Risk Management Solutions
Senior Product Manager at RMS based in London. Working closely with the catastrophe modeling team, Oliver is responsible for overseeing the development and release of RMS data across multiple peril regions and product offerings, which includes the productization of hazard data, risk scores, loss costs, and peril rating databases. Most recently, Oliver has focused on the delivery of this data through the RMS Location Intelligence API. Having joined RMS in 2013 as a graduate, Oliver is a Certified Catastrophe Risk Analyst and holds a BSc in Economics and Finance from Keele University.