Catastrophe Risk Analyst - Natural Hazards Research

The Role

An exciting opportunity for a Catastrophe Risk Analyst to join a leading Exposure Management team at one of Lloyd’s largest syndicates. The successful candidate will be helping to develop and maintain cutting edge analytics across all classes of business.  This is an excellent opportunity for a candidate looking to have a material impact at a top Lloyds’ syndicate and global (re)insurer.

The role requires strong knowledge of cat models and cat processes as well as a solid understanding of the commercial insurance business. As an analyst, the successful candidate will enjoy a close working relationship with the wider Exposure Management team and have a real opportunity to meaningfully influence the cat portfolio management process and risk selection. 

Key Responsibilities

• Working with the Analytics & Research and wider exposure management team to drive improvements to view of risk (VoR) across classes of business.
• Work with exposure management team, claims and other areas of the business to collect data to help inform VoR improvements.
• Conduct selection and validation of new Catastrophe vendor models and products, incorporating them into Canopius VoR and processes.
• Develop research agenda that delivers commercial value to Canopius, working closely with underwriting to assess priorities for Natural Hazard classes.
• Work with wider exposure management team to develop and maintain event response processes and to communicate event impacts to wider business.
• Develop in-house approaches to exposure management for perils/risks not covered by catastrophe models.  
• Ensure Canopius meets requirements on research and view of risk for both Lloyd’s Principals and internal controls.

Skills and Experience

• Experience in a Cat Modelling role – insurance experience and RMS/Risk Modeler experience is required 
• Highly numerical and strong mathematical/statistical knowledge
• Excellent business communication skills – ability to influence, negotiate, and listen
• Experience in model validation and view of risk work is highly desirable.
• Ability to manipulate large data sets with strong Excel and SQL skills.
• Strong experience using Microsoft Power BI for analytic is desirable
• Familiarity with another programming language such as VBA, .NET, R, Python