Credit Risk Strategy Data Scientist

Desjardins

. Optimize and develop decision-making strategies for credit management and prepare associated documentation .

Posted 11/5/2026full-timeMontréal • CanadaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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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 clearly and making strategic recommendations based on data insights.

Highest-signal resume keywords

Data AnalysisPredictive ModelingCredit Risk ManagementMachine Learning AlgorithmsSAS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive ModelingCredit Risk ManagementMachine Learning AlgorithmsSASPythonSQLData VisualizationReplicatorsPerformance Monitoring

Soft Skills

Clear CommunicationStrategic Recommendations

Tools & Technologies

SASPythonSQLPower BI

Industry Keywords

Credit ManagementRisk ManagementFinancial ImpactData AnalysisPerformance Reviews

Tech Stack

Tools & technologies

PythonSQL

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, making recommendations aligned with strategic priorities
Advise organizational units and collaborators on risk management matters, communicating 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
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

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