Credit Risk Analyst Student

3 weeks ago

Oakville, Canada CT Bank Full time

**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**:
The Data Science Student will report to the Manager of Modeling & Segmentation Analytics within our Credit Risk Division. The mandate of the Credit Risk Management Division of Canadian Tire Bank is to build familiarity with our credit card customers to strengthen the customer relationship with Canadian Tire Corporation. This Division is responsible for the design and execution of credit risk strategic decisions, the development and execution of machine-learning models that help predict customer behaviour, providing actionable customer intelligence to maximize our credit card portfolio profitability. The Modeling & Segmentation Analytics team is responsible for the design, development, and implementation of proprietary credit score models and machine learning techniques that help improve our already strong business operations.
- Help develop predictive models that will form the basis of information-driven strategies executed within Credit Risk which includes credit limit assignment, marketing promotions, collections and new account adjudication.
- Help design and implement robust model deployment techniques, as well as performance metric tracking.
- Participate in development of new predictive models to support the business, including preliminary analyses of available data and advising on feasibility/impact.
- Predictive model validation and evaluation through development of objective-specific metrics.
- Develop and maintain expertise with lending, credit scoring, behaviour scoring, portfolio management, direct marketing, data mining, and industry trends.
- Ad-Hoc analytical requests as needed

**What you’ve done**:

- Working towards a University degree in Mathematics, Statistics, Computer Science or a relevant discipline
- Programming experience in Python/SAS/R
- Working knowledge of Python’s data-manipulation libraries (ex. pandas)
- Proficient in Microsoft Excel, Word and PowerPoint
- Demonstrated superior analytical, mathematical, and problem-solving skills
- Knowledge of statistics and statistical models
- Self-driven development of technical skills through projects or hackathons
- 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.

**About Us**

At Canadian Tire Services Limited/Canadian Tire Bank, it is 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..

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