Credit Risk Analyst, Student- 4 Months- Summer 2023 - Toronto, Canada - CT Bank

CT Bank
CT Bank
Verified Company
Toronto, Canada

1 week ago

Sophia Lee

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Sophia Lee

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Description

Help us boldly shape retail in Canada
Canadian Tire Corporation's (CTC) rich heritage of serving Canadians from coast-to-coast dates back to 1922.

Our vision is to become the #1 retail brand in Canada and we are focused on innovating and making important investments in our business, especially when it comes to our people.

To reach our goal, we need the best talent to help us evolve and drive change across the business - and boldly help shape Canada's retail industry.

As we strive to be at the forefront of a complex and vastly changing retail industry, it is an exciting time to join the Canadian Tire family of companies.


Job Title:
Credit Risk Analyst, Student


Location:
Oakville/Remote


Work Term/Duration:
Summer 2023


Help us boldly shape retail in Canada
Canadian Tire Corporation, Limited ("CTC") is one of Canada's most admired and trusted companies.

With world-class Owned Brands and exciting market-leading merchandising strategies, we are continually innovating with purpose: to be there for Canadians from coast-to-coast.

We are relentlessly focused on innovating at every level of our business, investing in new technologies and products, and doubling down on the best talent to drive the company forward.

It is an especially exciting time to join Canadian Tire and its group of companies.


At Canadian Tire we work flexibly embracing 'Hybrid' whereby individuals utilize a combination of working at a CTC campus and or virtually in service of outcomes.

Determined by managers, decisions around work location will be made based on business and team needs and grounded in a desire to support individual well-being and personal needs.

Our goal is to empower teams and individuals to make the right decisions for them, and we expect that to look different for everyone.

The Credit Risk Analyst Co-op reports 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.


At Canadian Tire we work flexibly embracing 'Hybrid' whereby individuals utilize a combination of working at a CTC campus and or virtually in service of outcomes.

Determined by managers, decisions around work location will be made based on business and team needs and grounded in a desire to support individual well-being and personal needs.

Our goal is to empower teams and individuals to make the right decisions for them, and we expect that to look different for everyone.


What you'll do:


  • Help develop predictive models that will form the basis of informationdriven 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 objectivespecific 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

Who you are:


  • Exceptional communication skills with the confidence and passion to share knowledge
  • Creative thinker who is observant to seek new opportunities and perceptive to abstract ideas
  • Goal driven individual to seek out continuous improvement opportunities
  • The ability to take a collaborate approach to build strong relationships and have positive team experiences
  • Flexible and dynamic individual who is able to adjust and prioritize accordingly to adapt to business demands and requirements
  • Solid foundation of relevant technical skills
  • Demonstrates behaviours of transparency, accountability agility and learning from others that will support your success

What you've done:


  • Working towards a University degree in Mathematics (Statistics), or Computer Science
  • Demonstrated superior analytical, mathematical, and problemsolving skills
  • Knowledge of statistics and statistical models
  • Selfdriven development of technical skills through projects or hackathons
  • Programming experience in Python/SAS/R
  • Working kno

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