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Actuarial Consultant, Personal Auto

Job in Calgary, Alberta, D3J, Canada
Listing for: Wawanesa Insurance
Full Time position
Listed on 2026-06-03
Job specializations:
  • Finance & Banking
    Actuary, Risk Manager/Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 CAD Yearly CAD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Job Overview

As an Actuarial Consultant (Personal Lines Pricing – Regulated Automobile, Eastern), you’ll take a lead role in the auto pricing analysis for the Maritime and Quebec or Ontario regions, working with a high degree of autonomy. This position involves mentoring actuarial analysts and applying actuarial expertise to address complex business problems and provide strategic insights.

Note:

we are open to hiring at the Sr Actuarial Analyst, Actuarial Consultant or Senior Actuarial Consultant level.

Job Responsibilities
  • Analyze, extract, and manipulate complex data from relevant sources, assess data quality, and support the business and overall team by performing analyses/reviews and completing ad‑hoc requests/special projects in a timely manner with minimal support from peers and leaders.
  • Identify emerging industry trends and analyze the impact they will have on Wawanesa.
  • Provide regular project updates to stakeholders; anticipate obstacles and raise them in advance.
  • Lead projects from beginning to end, including implementation of final product; may include training and documentation of the project.
  • Provide feedback, instruction, and development guidance to help others excel in their current or future job responsibilities; build trust and credibility with peers; develop strong working relationships across teams.
Qualifications
  • Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or other related discipline.
  • More than four years of actuarial experience is an asset.
  • 7 CAS exams or ACAS designation is an asset.
  • Advanced oral and written communication skills, demonstrating the ability to convey business terminology and insights that are meaningful and well received.
  • Proficient with Excel, SQL, R, Python and/or other related software/programming languages/actuarial software.
  • Advanced knowledge of actuarial science, mathematics, probability, statistics, principles of finance and business, and strong ability to apply this knowledge to problems in insurance.
  • Strong attention to detail when performing analysis with minimal technical errors.
  • Ability to work efficiently and cooperatively in a team environment.
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