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.

#LI-Hybrid

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!

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