Senior Analyst, Fraud

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.

Why This Role is Important:

The Senior Fraud Analyst will analyze and mitigate emerging fraud trends as well as optimize existing detection and operation strategies. Key responsibilities include maintaining and creating fraud rule strategies, collaborating across multi-partner channels (internal and external), and managing risk key KPI's.

We are looking for someone that is analytical, curious, and takes initiative. The ideal candidate will be someone with a background in fraud detection/analysis, is eager to learn, and can work both independently and across a team environment.

What You'll Do:

• Analyze the portfolio and respective credit risk strategies to optimize risk and reward.
• Support in recommending improvements and quantify the benefits (e.g. credit limit assignment)
• Update and validate changes to the credit risk systems
• Develop, maintain, and produce a scheduled inventory of financial, operational, and compliance control reporting.
• Collaborate and communicate effectively with cross functional teams to achieve 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).
• Demonstrated experience working with a programming language is preferred (SQL, Python, VS Code, Excel VBA ).
• Ability to prioritize and independently execute assigned work.
• Attention to detail and personal accountability to ensure accuracy of produced results.
• Ability to successfully communicate complex problems verbally and written.
• Experience with systems and change management is an asset (Triad, Probe, ACS, TSYS, Capstone).
• Demonstrated experience working with a programming language is preferred
• Experience with transaction monitoring and authentication systems is an asset.

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.