Credit Risk Strategy Data Scientist
At a glance
Mid-level Data Science role at Desjardins. Montréal · full-time · no salary stated · we estimate CA$100,000–CA$127,000 across Canada.
Desjardins has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and refine credit decisions for personal financing, documenting the strategies used to manage accounts
- Use machine learning and predictive models to improve the financial results of credit risk strategies
- Analyze complex datasets with SAS or Python, interpret findings, create replicators and track strategies after launch
- Review financing products quarterly and prepare performance reporting in Power BI
- Advise internal teams and collaborators on risk matters, explaining complex findings clearly
What you bring
- A bachelor’s degree in a quantitative field and at least two years in data analysis, predictive modelling or risk management
- French proficiency and knowledge of machine learning methods applied to credit risk
- Advanced ability with SAS, SQL or Python
- Knowledge of credit risk
Who this fits
This role suits a mid-level data scientist focused on credit decisions, predictive modelling and strategy monitoring. French is required, and the position is hybrid in Montréal.
From the employer
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. More specifically, you will be required to:
- 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.
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 a quantitative discipline
- A minimum of two years of relevant experience in data analysis, predictive modelling or risk management
- Please note that other combinations of qualifications and relevant experience may be considered
- 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
Equity, Diversity, Inclusion and Accessibility
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!
Trade Union (If applicable)
Job Family
Data (FG)Unposting Date
2026-11-30
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.