Senior Catastrophe Modeling Analyst

  • 38201
  • Non-Life - CAT Modeling
  • |
  • Bermuda
  • |
  • Sep 18, 2020
Reinsurance
RESPONSIBILITIES
  • Analysis of exposure data, including data quality assessment, data augmentation and data management. Investigate and address data inconsistencies or anomalies.
  • Processing of exposure data as needed to prepare the information for catastrophe modeling and reporting.
  • Perform catastrophe risk analyses, review and verify results, and prepare the necessary reporting. Communicate and explain results to users of the information.
  • Support analyses for periodic catastrophe portfolio roll-ups, internal and external reporting needs, and post-event loss estimation.
  • Provide support for internal projects and the development of company’s internal view of risk, including testing, sensitivity analyses and impact studies.
  • Contribute to the maintenance of company’s catastrophe modeling landscape and drive projects to further improve its efficiency, including maintenance and development of internal software tools.
QUALIFICATIONS
  • At least 5 years’ experience with RMS RiskLink and familiarity with insurance / reinsurance conditions.
  • Demonstrated experience in modeling large and complex US, global reinsurance and retrocessional programs.
  • College degree in a quantitative field, such as natural science, engineering, or mathematics.
  • Strong analytical skills.
  • Some knowledge of probability and statistics a definite plus.
  • Proficiency in MS-Office applications, including Excel, Access, Word and PowerPoint.
  • Ability to work with large data sets, analyze, process, visualize and communicate quantitative information.
  • Knowledge of relational databases, with a preference for MS-SQL Server.
  • Some programming ability, such as familiarity with R and C# will be beneficial.
  • Excellent communication skills required, with the ability to present complex technical subjects to varied audiences.
  • Familiar with cat modeling methodologies and to be able to investigate and explain model results.
  • Ability to prioritize and organize tasks under time and resource constraints.
  • Strong interpersonal skills and ability to collaborate effectively with both local and remote team members.
  • Creative, results oriented, self-driven.