Data Science Student Credit Risk Analytics Position
3 weeks ago
About the Job:
We are seeking a highly motivated and detail-oriented Data Science Student with a passion for Credit Risk Analytics to join our team.
Key Responsibilities:
- Work with our 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.
- Contribute to the design and implementation of effective model deployment techniques and tracking performance metrics.
- Assist in the development of new predictive models by conducting preliminary data analyses and assessing feasibility and business impact.
- Build and maintain expertise in lending, credit scoring, behavior scoring, portfolio management, direct marketing, data mining, and industry trends.
Requirements:
- 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
About Us:
At Canadian Tire, we are dedicated to creating innovative and rewarding financial solutions for our customers. Our growing suite of products and services showcases 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 Our Team:
We are an equal opportunities employer and welcome applications from diverse candidates. If you are a detail-oriented and analytical individual with a passion for Credit Risk Analytics, we encourage you to apply for this exciting opportunity.
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