Senior Technical Advisor

  • 35086
  • Non-Life - Actuarial
  • |
  • Quebec, Canada
  • |
  • Apr 26, 2019
Insurance
RESPONSIBILITIES
  • Operate as a project leader and manage projects independently
  • Lead modeling and actuarial work and development of actuarial models related to rate change/implementation projects, and other actuarial projects/support work
  • Take responsibility for delivering results and making project decisions of a complex nature
  • Act as modeling and technical expert across the group of companies
  • Follow industry trends and anticipate developments on technical and actuarial matters
  • Assume technical leadership, and provide orientation and coaching for colleagues
  • Provide thorough analysis of situations when making decisions on complex issues related to technical and business aspects of work
  • Contribute to other actuarial functions by providing analysis and peer review support
  • Contribute to joint initiatives with actuarial areas in other P&C companies within the company on actuarial issues
  • Develop excellent understanding of data and tables and exercise a strong sense of judgment on analysis and recommendations
  • Develop the ability to drill down and identify causes of discrepancies within complex Actuarial projects
  • Participates in the development of the sector-based strategy for the department and the company
  • Prepare full reports for a broad audience
  • Foresees, understands and interprets the needs of clients in order to facilitate innovative solutions
  • Maintain and update documentation of key actuarial functions
  • Actively participate in self-development
  • Uphold professional ethics, values, policies and procedures that support the company’s and profession’s standards, and comply with CEO/CFO Certification
QUALIFICATIONS
  • Seven (7) years of relevant experience in the property and casualty modeling and actuarial field
  • Degree in Mathematics or Actuarial Science
  • ACAS or FCAS designation (or equivalent)
  • Expert knowledge of the Actuarial field and industry
  • Strong technical skills, including predictive modeling processes and best practices
  • Strong problem solving skills
  • Strong computer skills including modeling softwares and other softwares to support modeling work
  • Knowledge of SAS and SQL is preferred
  • Proven ability to simplify actuarial concepts to communicate them to a broad audience