Data Scientist developing transactional fraud detection models for Desjardins’ banking and debit payments. Deploying analytics, dashboards, and mitigation strategies to protect members and clients.
About the role
- Credit risk modelling data scientist developing and maintaining models for Desjardins. Guiding risk quantification, credit decisions, compliance, and practitioner-led modelling projects.
Responsibilities
- Design, use and improve mathematical models for risk management and prepare associated documentation
- Ensure alignment between business needs, risk management, and compliance with requirements and best practices
- Lead or contribute to projects, initiatives or activities in the field of expertise
- Serve as a specialist advisor and subject matter expert for organizational units and practitioners
- Adapt information for different target audiences to support understanding and decision-making
- Monitor industry trends and develop and update relevant organizational best practices
- Lead practitioners on projects involving credit models
- Interact with related areas of expertise to understand and communicate issues and influence decision-making
Requirements
- Bachelor’s degree in math, statistics, economics, finance or a related field
- A minimum of six years of relevant experience
- Other combinations of qualifications and relevant experience may be considered
- Experience in credit risk management and quantification
- Knowledge of French is required
- Intermediate advanced proficiency of English
- Proficiency with SAS, SQL and Python programming tools
- Knowledge of Basel standards
- Knowledge of IFRS standards
Benefits
- 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
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