Fraud Analyst Co-op

Referred applicants should not apply directly to this role.

All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

Location:

500 Lake Shore Boulevard West, Toronto, Ontario, M5V 2V9

When you hire great people, great things can happen. 

PC Financial offers unprecedented value to Canadians through payment products. We're a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

4 Month Co-op
Location: 500 Lake Shore Boulevard West Toronto (4 days a week in office)
May 5, 2025 – August 22, 2025

Why is this role important

This role is key to supporting the continuous optimization of our fraud detection strategies, ensuring a balance between minimizing fraud losses and providing a smooth customer experience. The student will work on high-impact projects that evaluate and refine our fraud detection rules, operations, and performance metrics. By leveraging data analysis and programming skills, the role will help assess the effectiveness of current fraud controls and provide insights to enhance operational efficiency and client satisfaction.

What you'll do

• Analyze fraud detection rules and assess their effectiveness in reducing fraud while minimizing customer friction.
• Collaborate with the team to identify areas where operational efficiencies can be improved, focusing on balancing fraud prevention and customer experience.
• Develop and maintain automated reporting solutions using SQL, Python, BigQuery, and SAS to monitor fraud detection performance and operational metrics.
• Work on projects aimed at optimizing alert management, including analyzing alert volumes and developing strategies to meet service level agreements (SLAs) while minimizing unnecessary disruptions.
• Evaluate the impact of fraud detection strategies on both operational expenses and customer experience, identifying opportunities to refine rules and processes.
• Assist in the development of data-driven solutions to ensure synchronization between fraud detection systems and operational processes.
• Collaborate with cross-functional teams to align fraud prevention strategies with broader business objectives.

What you bring

• Minimum 1 year of experience in a data analysis / financial modeling / data mining role. 
• Post-Secondary Degree or equivalent experience in a quantitative field preferred (Economics, Business Administration, Statistics, Mathematics, Computer Science, Operations Research) 
• Advanced knowledge of programming language is preferred (SAS, SQL, Python, R, Oracle).
• Working knowledge of Google Cloud Storage/BigQuery or equivalent cloud-based data. 
• Knowledge of Tableau (Desktop and Server)
• Experience with Microsoft Programs - Excel Required; PowerPoint, Visio, Word, Outlook is an asset
• Experience with systems and change management is an asset (TSYS).

Come and join a winning team who demonstrates innovation, energy, creativity and vision.  We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability.  We thank all applicants for their interest, however, only those selected for an interview will be contacted.

Number of Openings:

1

PC Financial recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

In addition, we believe that compliance with laws is about doing the right thing.  Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.