CAT Modelling Analyst

  • 35430
  • Non-Life - CAT Modeling
  • |
  • Ontario, Canada
  • |
  • Jun 24, 2019
Reinsurance
RESPONSIBILITIES
  • Analysis of exposure data provided as input to the risk analyses, including data quality assessment, data augmentation and data management.
  • 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 the 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 tool.
QUALIFICATIONS
  • College degree in a quantitative field, such as natural science, engineering, or mathematics.
  • Strong analytical skills.
  • Prior experience with catastrophe modeling and insurance / reinsurance a plus.
  • Some knowledge of probability and statistics required.
  • 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, is a plus.
  • Some programming ability will be beneficial.
  • Candidate should be a quick learner, and knowledge or exposure to quantitative modeling of any kind will be a plus.
  • Good communication skills, with the ability to present complex technical subjects to varied audiences.
  • 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.