Senior Credit Risk Data Scientist

Lead predictive modeling for Canadian Tire Bank’s credit card lifecycle using Python, SQL, SAS, and machine learning. Work with data scientists under the Manager of Data Modeling.As a Senior Data Scientist, you will develop risk scorecards and classification models for acquisition, account management, and collections. You will support responsible credit decisions through analytical rigor, regulatory soundness, and business impact. The work covers complete model development and monitoring.Key Responsibilities:
Lead machine learning projects for origination, limits, and collectionsOwn scorecard planning, sourcing, modeling, and validationDeploy models and address scoring system or procedural issuesMonitor model effectiveness and recommend appropriate actionsPresent model designs and results to senior managementRequirements:
Degree in Statistics, Actuarial Science, or MathematicsFive or more years building predictive models and scorecardsProficiency in SQL, Python, and SAS programmingUnderstanding of model development and modeling methodologiesStrong analytical, mathematical, programming, and problem-solving skillsApply credit risk modeling, scorecard development, and machine learning expertise to Canadian Tire Bank’s responsible decisions.
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