Manager/Associate Actuarial

  • 36344
  • Non-Life - Actuarial
  • |
  • Ontario, Canada
  • |
  • Nov 29, 2019
  • Perform and manage a variety of advanced statistical analyses including data mining and actuarial research techniques.
  • Analyze/interpret data, draw business inferences and clearly articulate findings for target audience.
  • May manage one or more advanced research projects simultaneously.
  • Present analysis and recommendations to target audience.
  • May lead in-depth efforts in applying, validating and implementing predictive models.
  • Assist in the development of new approaches to business problems.
  • Proactively stay abreast of industry, developments, changing trends and jurisdictional issues.
  • Attend various seminars and conference as appropriate.
  • Develop and maintain effective relationships with business partners.
  • Partner with peers across organization and potentially across the company, to ensure consistency and alignment where appropriate.
  • Perform and manage a variety of advanced statistical analyses including data mining and actuarial research techniques.
  • Perform other duties as assigned.
  • PhD STEM degree with 1-year experience or Masters STEM degree with 4 years’ experience or Bachelor’s STEM degree with 6 yrs. required.
  • Moderate working knowledge of modeling/research/analytics or actuarial required. R
  • Relevant statistical analysis work experience required.
  • Relevant work experience in research and/or advanced analytic work in the insurance industry preferred.
  • Ability to read/revise/review a statistical software program.
  • Ability to create advanced programs from scratch.
  • Problem Solving & Decision Making, Risk Taking, Innovation, Results Orientation, Business Perspective, Understanding & Navigating the Organization.
  • Understanding and knowledge of key business knowledge areas.
  • Ability to leverage business knowledge to determine approaches to execution.
  • Ability to take action in solving problems while exhibiting judgment and a realistic understanding of issues; ability to use reason; review facts, identify inconsistencies and weigh options; ability to make logical and timely decisions that address the right issues.
  • Ability to develop advanced models and interpret model results.
  • Understanding of advanced statistics underlying data models.
  • Ability to apply new statistical procedures to work.
  • Demonstrates strong ability and knowledge of database principles, data profiling, statistics and data modeling and can apply this knowledge in new or complex situations.