Lead credit risk modeling in Oakville with Python, SQL, and machine learning for Canadian Tire Bank’s customer lifecycle decisions.
As a Senior Data Scientist, you will develop predictive models, risk scorecards, and customer segments for credit card strategies. You will report to the Manager of Data Modeling while managing complete model development and monitoring activities. The work combines statistical analysis, validation, optimization, and stakeholder communication.
Key Responsibilities: Lead machine learning projects for origination, limits, and collections
Design and validate scorecards across the full development cycle
Deploy models and address scoring system or procedural issues
Monitor statistical model effectiveness and recommend actions




Present model results and design elements to senior management
Requirements: University degree in Statistics, Actuarial Science, or Mathematics
Five or more years building predictive machine learning models
Proficiency in SQL, Python, and SAS programming languages
Understanding of model development and modeling methodologies
Ability to translate business needs into statistically sound solutions
Apply credit risk, scorecard development, and machine learning expertise to responsible decisions at Canadian Tire Bank.

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📌 Senior Credit Risk Data Scientist (Ontario)
🏢 Canadian Tire Financial Services
📍 Ontario