Credit Risk Data Scientist

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 long-term survival. As a credit risk data scientist, you help meet the need for assessing credit risk in the granting and lifecycle of financing products. You lead practitioners on projects that develop and use credit strategies 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: Design, use and develop decision-making strategies for credit management and diligently prepare associated documentation Build innovative algorithms to further develop our risk strategies. Support the transformation of credit risk strategies and maximize their financial impact Balance business needs, risk management, requirements and best practices Lead or contribute to projects, mandates or activities in your field of expertise Serve as a specialist in your field of expertise for units in the organization and practitioners Explain information in plain language and based on the target audience in order to facilitate comprehension and, if applicable, decision making Monitor industry performance to understand and anticipate trends in your area of expertise Develop and update best practices for the organization. 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 mathematics, statistics, economics, finance or a related field or in a related field A minimum of four years of relevant experience Please note that other combinations of qualifications and relevant experience may be considered Machine learning experience Experience in credit risk management and quantification Knowledge of French is required Intermediate knowledge of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients Proficiency with SAS, SQL and Python programming tools Knowledge of machine learning algorithms and their application in credit risk management 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! Trade Union (If applicable) Job Family Data (FG) Unposting Date 2026-09-10

You will design and implement credit risk decision-making strategies while building innovative algorithms to assess risk throughout the financing lifecycle. Additionally, you will serve as a specialist advisor and coach, leading projects and monitoring industry trends to optimize financial impact.

Candidates must hold a bachelor's degree in a quantitative field such as mathematics, statistics, or finance, along with at least four years of relevant experience. Proficiency in SAS, SQL, and Python is required, as well as experience in machine learning and credit risk quantification.

• Competitive salary • Annual bonus • Flexible vacation • Defined benefit pension plan • Group insurance • Telemedicine • Health and wellness expense reimbursement • Telework equipment

• SQLPreferred
• Machine learningPreferred
• CommunicationPreferred
• Project managementPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Credit risk management
• Data science
• Machine learning
• SAS
• SQL
• Python
• Risk quantification
• Algorithm development
• Financial modeling
• Strategic planning
• Communication
• Coaching
• Project management
• Trend analysis
• Decision-making strategies
• Credit Risk
• Action Oriented
• Advanced Mathematics
• Experimental Learning
• Credit Risk Management
• Algorithms
• Decision Making
• Customer Service
• Credit Management
• Economics
• English Language
• Finance
• French Language
• Innovation
• Python (Programming Language)
• Machine Learning Algorithms
• Risk Management
• Machine Learning
• Quantification
• SAS (Software)
• SQL (Programming Language)
• Statistics
• Target Audience
• Telehealth
• Data Science

• Data & Analytics
• Finance & Accounting
• Technology
• Management & Leadership
• Data Scientist
• Systems Analysts
• Data Scientists

Minimum education

Bachelor’s degree

Minimum experience

2+ years

Apply by

Sep 11, 2026

Posting language

English

Working hours

40 hours per week