The Credit Risk Strategy Department develops and implements credit risk decision-making strategies based on risk/return quantification to deliver value for the organization as well as members and clients, while safeguarding Desjardins Group’s sustainability. As a credit risk strategy data scientist, you help develop, implement and optimize credit risk strategies for personal financing products, at granting and throughout their lifecycle. You develop expertise in product-related databases and the systems where the strategies are executed. More specifically, you help recommend ways to optimize strategies by applying your knowledge of machine learning and modelling. You also help develop quarterly performance reports in Power BI, conduct ad hoc analyses and perform post-implementation monitoring. Optimize and develop decision-making strategies for credit management and prepare associated documentation

Apply your knowledge of machine learning and predictive modelling to maximize financial impact and support credit risk strategies

Participate in complex data analyses (SAS, Python), interpret results, build replicators and monitor how our strategies perform once in production

Monitor financing products and conduct quarterly performance reviews

Contribute to various projects, assignments and data analyses in your area of expertise and make recommendations aligned with strategic priorities





Advise organizational units and other collaborators on risk management matters in your area of expertise, communicating complex information clearly.

Competitive salary and annual bonus

- 4 weeks of versatile vacation starting in the first year
- Defined benefit pension plan that provides predictable, stable income throughout retirement
- Reimbursement of health and wellness expenses and telework equipment

* Bachelor's degree in a quantitative discipline

A minimum of two years of relevant experience in data analysis, predictive modelling or risk management

Knowledge of French is required

Knowledge of machine learning algorithms and their application in credit risk management

Advanced knowledge of SAS, SQL and/or Python

Knowledge of the Power BI data visualization tool is an asset

Knowledge of credit risk

Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning

Equity, Diversity, Inclusion and Accessibility At Desjardins, we believe in equity, diversity and inclusion. We believe our teams should reflect the diversity of the members, clients and communities we serve.

We offer a full range of financial products and services and share our expertise in personal services, business services, wealth management, life and health insurance, and property and casualty insurance.

📌 Remote Data Scientist (Credit Risk) (Montreal)
🏢 Desjardins
📍 Montreal