Posted: June 2, 2026
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Credit Risk Data Analyst Student, Oakville, ON is listed at Canadian Tire in Oakville. The Beaver Board aggregates this opening from the employer's career page — apply using the button below to reach the official application. Browse more jobs at Canadian Tire.
<h3>Credit Risk Data Analyst Student Opportunity at Canadian Tire</h3> <p>Canadian Tire, a cornerstone of Canadian retail, is offering an exciting four-month student opportunity for a Credit Risk Data Analyst in Oakville, ON, for the Fall 2026 term. This role is integral to the Canadian Tire Bank’s Credit Risk Management Division, which is committed to strengthening relationships with its credit card customers. As a student, you will gain invaluable practical experience and contribute to a team focused on understanding customer behaviour through advanced data analytics. This commitment to students ensures a supportive and collaborative environment designed to foster knowledge sharing and provide key experiences, helping you develop essential capabilities aligned with our business objectives. You will be part of a dynamic team dedicated to building a talented, diverse workforce for the future of Canadian Tire and Canada.</p>
<h3>Making an Impact in Credit Risk Analytics</h3> <p>Reporting to the Manager of Modeling & Segmentation Analytics, this position offers a unique chance to help shape strategic decisions within the Credit Risk Division. You will be involved in the design and execution of credit risk strategies, working with machine-learning models that predict customer behaviour. Your contributions will help maximize the profitability of our credit card portfolio by providing actionable customer intelligence. Specifically, you will assist in developing predictive models that inform critical strategies such as credit limit assignment, marketing promotions, collections, and new account adjudication. This includes helping to design and implement robust model deployment techniques and tracking performance metrics. You will participate in preliminary analyses of available data, advise on feasibility, and contribute to the validation and evaluation of predictive models, all while building expertise in lending, credit scoring, and industry trends.</p>
<h3>Your Skills and Growth at Canadian Tire</h3> <p>The ideal candidate is currently enrolled in a post-secondary program such as Mathematics, Statistics, Computer Science, or a related discipline, demonstrating superior analytical, mathematical, and problem-solving skills. A solid knowledge of statistics and statistical models is crucial for success in this data-intensive role. We are looking for individuals with proven programming experience in Python/SAS/R, including working knowledge of Python’s data-manipulation libraries like pandas and numpy. Beyond technical prowess, exceptional communication skills and a passion to share knowledge are highly valued, alongside a creative and observant mindset to seek new opportunities. Canadian Tire is invested in your growth, offering career development opportunities and a culture that emphasizes continuous improvement, agility, and innovation, ensuring you are well-equipped for a future in credit risk management.</p>
