Analyst II

  • 39273
  • Non-Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Mar 10, 2021
  • Extract data as required for project analysis or analysis of our book of business using BI tools or programming language.
  • Analyze data and find complex insights.
  • Understand, develop, maintain and improve predictive statistical models used in BI.
  • Measure and document the performance of statistical models used in BI and Recommend the appropriate type of model to be used for a BI problem between a variety of common models.
  • Support Actuarial Research projects, including developing and testing non-standard and innovative approaches for modeling insurance risk.
  • 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.
  • Use the latest technologies and techniques such as geo-spatial analytics, text mining, big data, etc.
  • 4 years of relevant experience OR 2 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 is an asset.
  • You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.
  • You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions.
  • You have strong communication skills to clearly convey messages and explore diverse points of view.
  • You build trusting relationships and provide guidance to support the development of colleagues.