Intern, Strategy Analyst - Summer 2027

Capital One•Toronto, ON

7d•CA$23 - CA$43•Hybrid

About The Position

You will join our Toronto office for ~16 weeks in the Summer of 2027 (May to August), to work in teams and directly with our internal stakeholders. You will get to work with a team of fellow strategy analysts, along with associates in other job families such as Data Scientists and Product Managers, to identify solutions for problems or processes. Over the course of each project, you will gather and analyze information, formulate and test hypotheses, and develop and communicate recommendations to business stakeholders. Be ready to join a community of the smartest people you’ve ever met, who see the customer first, and want to use their data skills to change banking for good.

Requirements

Currently enrolled in an undergraduate or postgraduate degree from an accredited University with an expected graduation date in or after December 2027.

Nice To Haves

Pursuing a bachelor’s degree/master's degree in Commerce, Finance, Marketing, Economics, Business Administration, Engineering, Mathematics, Statistics or a related field
Superior analytical and problem-solving skills.
Ability to communicate complex ideas both verbally and in writing.
Ability to adapt in a dynamic, ever-changing environment; being flexible and open to new ideas and requirements that will enable you to thrive.

Responsibilities

Analyzing trends in fraudulent credit card applications and transactions in order to enhance our suite of models and tools. The goal: reduce fraud costs and minimize negative experiences for our cardholders.
Developing a framework through which customers may benefit from having a different card than the one they currently have. The goal: enhancing the overall value provided to the customer while being mindful of the additional costs and credit risk associated with different products.
Building a challenger model to an existing model that predicts how much customers are likely to spend on their credit cards. The goal: understanding if a simpler model could capture enough of the business value to justify retiring the complex model.