The Insurance Risk Management team within the Modelling and Research Competency Center develops innovative, responsible, and high-impact solutions at the forefront of data science, actuarial science, and optimization. Leveraging some of the industry's richest telematics, geospatial, climatological, and insurance datasets, the team tackles complex challenges in individual and portfolio risk modelling while collaborating with universities and technology partners to advance the quantitative approaches of tomorrow. More specifically, you will be required to :
- Explore and evaluate diverse structured and unstructured data sources, assess their relevance and quality, and prepare enriched modelling datasets by leveraging statistical and actuarial expertise alongside feature engineering techniques in support of diverse and complex predictive modelling initiatives.
- Analyze client and partner business needs, generate hypotheses and lead initiatives, taking into account the specifics of their operationalization and ensuring coordination during the rollout.
- Apply advanced statistical, machine learning, and artificial intelligence techniques to extract insights from data and develop optimized models and segmentation strategies that address business needs.
- Design, develop, and implement analytical workflows, scripts, and reusable tools supporting data preparation and analytics, as well as the development, validation, deployment, monitoring, and maintenance of advanced analytical models.
- Translate analytical findings into clear recommendations that support strategic decision-making and drive innovation across business sectors.
- Draft modelling guidelines and methods, ensuring that the models will meet specifications and perform optimally. Help develop documentation and prepare and deliver training to support sound change management.
- Identify opportunities to improve rules and systems, anticipate underlying impacts of changes and make improvements to data management tools.
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 in statistics, mathematics, actuarial sciences or a related field
- At least six years of relevant experience in actuarial science or data science, including predictive modelling and spatial analytics
- 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
- Expertise in at least one data analytics programming language (Python or R) and one data manipulation language (SAS or SQL)
- Expertise in statistical and machine learning methods, including regression, decision trees, ensemble learning techniques (e.g., random forests, gradient boosting), clustering, and neural networks.
- Practical knowledge of leading data science libraries (machine learning, deep learning, natural language processing, spatial analysis, visualization)
Action oriented, Business insight, Complexity, Customer Focus, Differences, Nimble learning
Trade Union (If applicable)Job FamilyData (FG)
Unposting Date2026-08-20
