Enhance your analytical skills with Canadian Tire as a Credit Risk Data Analyst Student. This role focuses on building predictive models and optimizing credit strategies for improved customer interactions. As a Credit Risk Data Analyst Student, you will report to the Manager of Modeling & Segmentation Analytics within Canadian Tire's Credit Risk Division.

This position involves developing machine-learning models that predict customer behavior, helping prioritization in credit limit assignments, marketing promotions, and collections. You will gain experience in model deployment techniques and performance tracking, contributing to the company's data-driven strategies. Key Responsibilities:

- Develop predictive models for credit risk management
- Implement model deployment techniques and track performance metrics




- Analyze data feasibility for new business models
- Validate predictive models through specific metrics
- Execute ad-hoc analytical requests as needed

Requirements:

- Enrolled in Mathematics, Statistics, or Computer Science
- Solid analytical and problem-solving abilities
- Experience with Python/SAS/R programming
- Knowledge of statistical models and data manipulation libraries
- Excellent attention to detail and communication skills

Bring your creative thinking and analytical prowess to help maximize Canadian Tire’s credit portfolio profitability.

📌 Credit Risk Data Analyst Student Position (Oakville)
🏢 Canadian Tire Corporation
📍 Oakville