Actuarial Analyst II/Senior

  • 37891
  • Non-Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Jul 7, 2020
Insurance
RESPONSIBILITIES
  • Work with various stakeholders to translate business questions into formalized and repeatable analytical processes
  • Work with various stakeholders throughout the organization to design, develop, and assess experiments aimed at uncovering meaningful and actionable insights
  • Disseminate the findings from analysis and experiments for easier stakeholder consumption
  • Assist in the development and refinement of measures and reports designed to improve decision making
  • Document all aspects of the analytical process, including data requirements, data processing, analytical approaches utilized, any created code and, in general, the findings of the work conducted
  • Contribute to educational initiatives aimed at the development of overall inter- and intra-departmental knowledge
  • Participate in planning activities
  • Contribute to data management improvements
  • Improve upon and ensure adherence to established practices, processes and guidelines
  • Keep up to date on current statistical and mathematical models and methodologies, including those relating to machine learning, deep learning, and artificial intelligence
  • Mentor other actuarial analysts
  • Perform other duties as assigned
QUALIFICATIONS
  • Undergraduate university degree in Actuarial Mathematics, Statistics, Mathematics or other related field of study
  • Minimum of 3 Associateship Exam & VEE Credits
  • Minimum of 2 years’ prior work experience in insurance or related field
  • Detail oriented with analytical and problem-solving skills and an ability to recognize and identify issues and take proper action to resolve them
  • Strong creativity skills, with the ability to develop solutions to a variety of problems
  • Excellent communication skills, with the ability to communicate in a clear and concise manner with style fitting for the audience and message
  • Strong planning and organizing skills, with the ability to develop and implement plans by prioritizing
  • Experience with analytical tools such as Python and R is considered an asset