Research & Innovation Analyst II

  • 39400
  • Non-Life - Business Intelligence (BI)
  • |
  • Ontario, Canada
  • |
  • Apr 5, 2021
Insurance
RESPONSIBILITIES
  • Contribute to joint initiatives in all companies within the group of companies on BI issues.
  • Identify personal development goals and create plan by which to achieve goals.
  • Be the guardian and promoter of the "one version of the truth" principle.
  • Understand insurance metrics, insurance databases and insurance concept
  • Provide coaching and support.
  • Understand insurance products, the market place and the insurance environment.
  • Autonomous, independently complete projects and tasks of medium complexity and size.
  • Develop and deliver presentation related to his field of expertise to a technical audience.
  • Analyze and understand the various data sources.
  • Understand our business processes and make the connection with the data coming of the operational systems of the company.
  • Extract data as required for project analysis or analysis of our book of business using BI tools or programming language (SQL, SAS, MicroStrategy).
  • Do the appropriate validations to ensure the produced data extract is accurate, complete and reconciles.
  • Analyze data and find complex insights
  • Use judgment in determining reasonableness of results
  • Understand, develop, maintain and improve predictive statistical models used in BI.
  • Measure and document the performance of statistical models used in BI.
  • 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 (GIS), text mining, big data, etc.
QUALIFICATIONS
  • 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.
  • Ability to communicate clearly using all mediums within Business Intelligence.
  • Exposure to the use of job related applications, appliances and programming languages (SAS, SQL, Netezza, MicroStrategy) is an asset
  • Bilingual-ability to communicate in both French and English is an asset