As Manager, Modeling & Best Practices, you will lead a highly skilled team of actuarial and data science professionals responsible for transforming research, predictive modeling, and analytical innovation into scalable business capabilities. You will play a critical role in connecting research, actuarial science, technology, and ratemaking functions across the organization to accelerate the adoption of next-generation pricing solutions. This role requires a leader with deep technical expertise and a passion for developing people. You are recognized for your ability to build engaged, high-performing teams, foster collaboration, and create an environment where technical talent can thrive. You combine strong people leadership with hands-on knowledge of actuarial science, predictive modeling, data engineering, and cloud-based analytics platforms. Working across regions and lines of business, including Personal and Commercial Insurance, Auto, and Property & Casualty, you will help define the strategic direction of modeling capabilities, data infrastructure, and analytical best practices while ensuring successful delivery of business outcomes. Success in this role requires curiosity, strategic thinking, strong leadership skills, and the ability to translate complex technical concepts into practical solutions that create measurable value for the organization. More specifically, you will be responsible to:

• Lead and develop a high-performing team of actuarial and data science professionals, fostering an engaging culture of collaboration, innovation, continuous learning, and technical excellence.
• Drive the commercialization of advanced analytics and research initiatives, partnering across actuarial, underwriting, distribution, and technology teams to bring innovative pricing capabilities from concept to production.
• Provide technical leadership and strategic direction in predictive modeling, actuarial analytics, data science, and data infrastructure, ensuring solutions are scalable, reliable, and aligned with business objectives.
• Oversee the development and delivery of analytical capabilities, including Azure-based data and modeling pipelines, model governance, performance monitoring, and operational readiness.
• Serve as a key business partner and Agile leader, aligning stakeholders, prioritizing work, and translating complex technical concepts into actionable business outcomes.

What we offer*

• Competitive salary and annual bonus
• 4 weeks of flexible vacation starting in the first year
• Defined benefit pension plan that provides predictable, stable income throughout retirement
• Group insurance including telemedicine
• Reimbursement of health and wellness expenses and telework equipment

* Benefits apply based on eligibility criteria.

What you bring to the table

• Bachelor's degree actuarial science or in a related field
• A minimum of nine years of relevant experience, including five years leading technical or business-oriented teams
• Please note that other combinations of qualifications and relevant experience may be considered
• Technical experience in actuarial science or data science
• Experience managing teams remotely and availability for approximately two trips per year to Toronto/Mississauga for candidates in Quebec
• Experience supporting actuarial pricing, segmentation, predictive modeling, or insurance analytics initiatives
• Advanced experience with Microsoft Azure technologies, including tools such as Azure Data Factory, Databricks, Synapse Analytics, DevOps, and Git
• Advanced proficiency in French, both spoken and written
• Intermediate advanced proficiency of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
• Proficiency in one or more analytical programming languages such as R, Python, or SAS
• Knowledge of modern data architecture, data engineering, and analytical solution design

Decision quality, Develops talent, Drive results, Teams

Trade Union (If applicable)

Job Family
Management (FG)

Unposting Date
2026-09-10