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Desjardins invites applications for a 12-month temporary Data Scientist, Credit Risk Quantification, within the Data Valorization Department. You will quantify risks, develop and maintain models, and guide teams on credit decision- making.
You will lead projects and act as a SME for stakeholders across the bank. The role requires a math/ statistics background, four years of experience in credit risk, fluency in French and strong English; SAS/SQL/Python skills and Basel/IFRS knowledge are
Temporary position for 12 months.
The Data Valorization Department is responsible for developing, monitoring and maintaining our credit risk models so that we can offer innovative financing products to our members and clients while ensuring Desjardins’s long-term viability. As a Data Scientist, Credit Risk Quantification, you help quantify risks and make credit decisions, develop and maintain models, and understand member and client behaviours and credit habits. You lead practitioners on projects that develop and use credit models for the institution’s business activities. You serve as a specialist advisor, resource person and coach for the team and business partners. More specifically, you will be required to:
What we offer*
* Benefits apply based on eligibility criteria.
#LI-Hybrid
What you bring to the table
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’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!
Job Family
Data (FG)