Senior Actuarial Advisor, Modelling and Research Competency Centre
Quick Summary
As a Modelling and Research Competency Centre Senior Actuarial Advisor, you will join the Insurance Risk Management team within the Modeling and Research Centre of Expertise,
As a Modelling and Research Competency Centre Senior Actuarial Advisor, you will join the Insurance Risk Management team within the Modeling and Research Centre of Expertise, which develops innovative, responsible, and high-impact solutions at the forefront of the industry in data science, actuarial science, and optimization. Leveraging some of the richest telematics, geospatial, climate, and insurance data in the sector, the team tackles complex individual and portfolio risk modeling challenges while collaborating with universities and technology partners to advance the quantitative approaches of tomorrow. More specifically, you will be required to:
- Analyze structured and unstructured data from a variety of sources using advanced predictive modelling techniques
- Carry out research projects for our internal partners (pricing, corporate actuarial, commercial, underwriting, innovation, etc.) in order to innovate and create value for our members and clients
- Provide expert advice on potential solutions to various issues related to the insurance industry and help position, plan, develop, execute and monitor the performance of strategic and innovative projects
- Develop new processes and improve those currently in place
- Keep up with new advancements in advanced analytics and apply them to your projects
- Effectively communicate assumptions and analysis results to our internal partners and management
- Represent actuarial services on internal decision-making committees and at meetings, and occasionally participate in external industry working groups and academic collaborations
- Serve as a strategic partner and advisor to the pricing teams, supporting them in the delivery of strategic and operational projects.
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.
#LI-Hybrid, #ONAC10*
What you bring to the table
- Bachelor’s degree in actuarial science, math or statistics
- A minimum of six years of relevant property and casualty insurance experience
- Please note that other combinations of qualifications and relevant experience may be considered
- Academic specialization in a quantitative field (such as a certificate, master’s degree or PhD)
- Knowledge of French is required for positions in Quebec
- Advanced proficiency of English, both oral and written due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
- Knowledge of a programming language (SAS, SQL, R, etc.)
- Knowledge of actuarial, statistical and machine learning approaches (regressions, decision trees, gradient boosting, etc.)
At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.
If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!
Location & Eligibility
About this job
- Posted
- Today
Listing Details
- Posted
- October 22, 2026
- First seen
- October 22, 2026
- Last seen
- October 22, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- October 22, 2026
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