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Credit Risk Strategy Data Scientist
Desjardins. Optimize and develop decision-making strategies for credit management and prepare associated documentation .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis and predictive modeling, particularly in credit risk management, utilizing advanced tools such as SAS and Python. Proficient in communicating complex information and advising on risk management strategies while optimizing decision-making processes.
Highest-signal resume keywords
Data AnalysisPredictive ModelingMachine Learning AlgorithmsSASPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisPredictive ModelingMachine Learning AlgorithmsSASPythonSQLCredit Risk ManagementData VisualizationDocumentation PreparationPerformance Monitoring
Soft Skills
Clear CommunicationAdvisory SkillsStrategic Thinking
Tools & Technologies
SASPythonSQLPower BI
Industry Keywords
Credit ManagementRisk ManagementFinancial ImpactData AnalysisPerformance Review
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Optimize and develop decision-making strategies for credit management and prepare associated documentation
- Apply machine learning and predictive modelling to maximize financial impact and support credit risk strategies
- Participate in complex data analyses using SAS and Python, interpret results, build replicators and monitor strategy performance in production
- Monitor financing products and conduct quarterly performance reviews
- Contribute to projects, assignments and data analyses and make recommendations aligned with strategic priorities
- Advise organizational units and collaborators on risk management matters and communicate complex information clearly
Requirements
What you’ll need- Bachelor's degree in a quantitative discipline
- A minimum of two years of relevant experience in data analysis, predictive modelling or risk management
- 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
Benefits
Comp & perks- 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