• 38771
  • Non-Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Dec 18, 2020
  • Extract data as required for project analysis or analysis of our book of business using business intelligence tools or programming language
  • Do the appropriate validations to ensure the produced data extract is accurate, complete and reconciles.
  • Understand, develop, maintain and improve predictive statistical models used in business intelligence.
  • Measure and document the performance of statistical models used in business intelligence.
  • Decide the appropriate type of model to be used for a business intelligence problem between a variety of common models
  • Lead and Support Actuarial Research projects, including developing and testing non-standard and innovative approaches for modeling insurance risk.
  • Lead and Support Non-Actuarial Research projects, including delivering predictive analytics solutions to support marketing, operations, and product.
  • Using a scientific approach, research and develop solutions to new analytical problems.
  • 7 years of relevant experience OR 5 years with a graduate degree in a relevant field.
  • University Degree in Actuarial Science, Mathematics, Statistics or relevant field.
  • Property and Casualty insurance experience is preferred.
  • Exposure to the use of job related applications, appliances and programming languages (SAS, SQL, Netezza, MicroStrategy) is an asset.