Launch your career at Canadian Tire as a Credit Risk Data Analyst Student. This on-site position includes developing models and supporting data-driven strategies to enhance customer relations.

In this impactful role within the Credit Risk Division, you will support the Manager of Modeling & Segmentation Analytics. You will focus on building predictive models that inform credit decisions, enhance portfolio profitability, and streamline collections and marketing strategies. As you gain expertise with lending and scoring techniques, you'll contribute directly to actionable intelligence for better customer engagement.

Key Responsibilities:



• Create predictive models shaping credit limit assessments • Assist in model deployment and metric performance evaluation • Conduct preliminary data analyses for new opportunities • Evaluate model effectiveness through objective metrics • Handle various analytical requests as necessary

Requirements: • Currently enrolled in a related post-secondary program • Demonstrated analytical and problem-solving skills • Programming experience in Python, SAS, or R • Proficient with data manipulation libraries like pandas and numpy • Robust communication skills with attention to detail

Utilize your analytical skills and creativity to support Canadian Tire's commitment to customer relationships and data-driven decision-making. #J-18808-Ljbffr

📌 Student Role in Credit Risk Analytics (Winnipeg)
🏢 Canadian Tire Corporation
📍 Winnipeg