Senior Actuarial Analsyt, Commercial Lines

  • 34869
  • Non-Life - Actuarial
  • |
  • Ontario, Canada
  • |
  • Mar 14, 2019
  • Review loss experience of the commercial business and prepare rate indications for all segments.
  • Monitor the performance of various regions and on various business initiatives.
  • Identify key trends and communicate to regions on their competitiveness, growth and profitability performance.
  • Recommend actions in order to achieve profit and growth targets.
  • Design monitoring reports necessary to evaluate progress.
  • Forecast underwriting and claim experience with consideration on actual experience and upcoming business initiatives.
  • Evaluate and communicate pricing projections with assumptions used in reinsurance, finance and claim departments, as well as with the frontline regional underwriters.
  • Provide statistical data to understand the business impact on pricing changes.
  • Support technical development required to build and maintain rating tools for underwriters.
  • Provide actuarial pricing and technical support to stakeholders outside of actuarial including finance, underwriting and business development.
  • Maintain and improve SAS data procedures.
  • Identify data issues and create actions to remedy them.
  • Act as a technical expert and work comfortably in a team environment, provide supports to juniors and peers in the team.
  • At a minimum, a Bachelor’s degree in business administration, finance, actuarial science or other related field or equivalent experience.
  • ACAS or near ACAS is preferred, 4 + CAS exams.
  • 3 to 5 years of Actuarial experience, combined with appropriate academic background and insurance experience.
  • A deep understanding of insurance principles and actuarial pricing techniques is required.
  • Believes in working collaboratively with a team and cross-functional areas.
  • Strong problem solving and analytical skills.
  • Proficient in programming and has experiences in MS Access, SAS and VBA a plus.
  • Ability to communicate well and present ideas/decisions clearly.
  • Strong mathematical and statistical background.