Catastrophe Modelling Analyst

3 weeks ago


London, United Kingdom The Emerald Group Full time

Within Risk Analytics, the Insurance Catastrophe Modelling team use exposure management systems and catastrophe models, to provide analysis on catastrophe risk for direct insurance classes so that Executives and Underwriters are informed to make the best possible decision making to achieve overall profits and targets.

  • Location: London/WFH
  • Type: Permanent

Key duties (including, but not limited to):

  • Bring clarity, transparency and understanding to the users and clients of property and specialty modelling, and analytics
  • To be a key point of contact for underwriters and other stakeholders, with queries relating to the pricing of accounts and portfolio roll-up
  • Conduct exposure capture and modelling of pricing and portfolio risks, and provide peer review for high complexity risks captured and modelled by Genpact, to enhance their underwriting capabilities on all open market and delegated pricing, and portfolio requests, by the required deadlines
  • Review, provide oversight, and input on reports created by and activities carried out by Genpact, providing direction dependent on business requirements
  • Undertake internal and external reporting activities for submissions
  • Conduct role in accordance with the Company’s Business Ethics policy and all regulated entities as appropriate
  • Assist with ensuring that the portfolio and the risks underwritten are compliant with all the relevant risk, regulatory and legal requirements, and are aligned to business goals
  • Assist Senior Analysts in the design and implementation of risk management strategies, ensuring alignment with business goals
  • Established experience in catastrophe modelling
  • Extensive experience of RMS RiskLink is essential
  • Experience in modelling Direct Property and Delegated Authority business is essential
  • Experience of AIR would also be beneficial
  • Coding experience in SQL highly desirable, and skills in R and Python would be useful
  • Experience using PowerBI is highly desirable
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