Data Science Student, Credit Risk Analytics (4 months) - Winter 2025
Oakville 01
Canadian Tire Corporation
Job Title: Credit Risk Analyst Student
Department: Credit Risk – Advanced Analytics Discovery & Design
Location: Hybrid – Remote/Oakville Office
Work Term/Duration: Winter 2025 – January to April 2025
Our Commitment to Students
At Canadian Tire, we are committed to providing students with a supportive and collaborative environment that fosters knowledge sharing and offers key experiences to help them develop their capabilities through projects and objectives. We believe in setting specific and measurable goals that align with our business objectives to support learning and help students achieve their full potential. Our culture emphasizes learning from others, continuous improvement, agility, growth, and innovation, and we are invested in building a talented, diverse workforce for the future of Canada and Canadian Tire. Additionally, we are dedicated to building strong relationships with our student employees by engaging with them throughout their education and career pursuits and creating opportunities for ongoing communication and relationship building.
What You'll Do
- Reporting to the Manager of Advanced Analytics Discovery & Design in Credit Risk to develop predictive models for strategic decisions such as credit limit assignment, marketing promotions, collections, and new account adjudication.
- Assist in designing and implementing effective model deployment techniques and tracking performance metrics.
- Contribute to the development of new predictive models by conducting preliminary data analyses and assessing feasibility and business impact.
- Validate and evaluate predictive models using objective-specific metrics.
- Build and maintain expertise in lending, credit scoring, behavior scoring, portfolio management, direct marketing, data mining, and industry trends.
What You Bring
- Working towards a University degree in Mathematics (Statistics), or Computer Science
- Demonstrated superior analytical, mathematical, and problem-solving skills
- Knowledge of statistics and statistical models
- Self-driven development of technical skills through projects or hackathons
- Programming experience in Python/SAS/R
- Working knowledge of Python’s data-manipulation libraries (ex. pandas)
- Proven experience using Excel/Word/PowerPoint
- Excellent attention to detail
Hybrid
We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team. This role is based out of our CTFS office in Oakville, Ontario.
About Us
At Canadian Tire Services Limited/Canadian Tire Bank, it is our mandate to continue to create innovative and rewarding financial solutions for our customers. Our growing suite of products and services showcase the dynamic contributions from our employees and our success is driven by a strong vision, loyal customers, and our ability to build teams that reflect the diverse customers and communities in which we live and work. Join us, where there's a place for you here.
Our Commitment to Diversity, Inclusion and Belonging
We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. .
Accommodations
We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Credit risk Data Mining Excel Mathematics Model deployment Pandas Python R SAS Statistics
Perks/benefits: Career development
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