Job description
Join a leading actuarial team delivering data driven insights that shape pricing, reserving, and strategic decision making. This role offers a clear path to advanced actuarial designations, ongoing professional development, and the opportunity to influence business outcomes in a fast growing market.
Based in Toronto, you will collaborate with cross functional partners and leverage modern modeling tools to build robust models, dashboards, and reports that drive profitability and risk management.
Responsibility
- Perform actuarial analyses for pricing, reserving, and risk assessment across product lines
- Collaborate with product, finance, underwriting, and data teams to define requirements and deliver actionable insights
- Develop and maintain actuarial models using Python, R, SAS, and advanced Excel
- Prepare management reports, board materials, and regulator submissions with clear interpretation of results
- Support IFRS 17, GAAP and other reporting standards as applicable to product lines
- Lead model validation, data quality checks, and audit trails
- Contribute to data pipelines, data governance, and scalable analytics infrastructure
- Mentor junior analysts and contribute to actuarial student development
Qualification
- Bachelor degree in Actuarial Science, Mathematics, Statistics, or related field; pursuing or already obtaining ASA/FCAS designation
- 2-5 years of actuarial experience in pricing, reserving, valuation, or risk analytics
- Strong modeling skills in Python, R, SAS; advanced Excel; SQL knowledge a plus
- Experience with IFRS 17 or Solvency II and regulatory reporting is a plus
- Excellent communication, collaboration, and stakeholder management
- Strong problem solving, analytical thinking, and project management abilities
- Ability to work independently in a fast paced environment and manage multiple priorities
- Comfort with large datasets, data manipulation, and data governance