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Analyst, Credit Risk

PC Financial

Toronto, CAonsite$52k-$72k/yrPosted May 29, 2026

At a glance

Highlights

  • Onsite Toronto office
  • Work on IFRS9 credit models
  • Collaborative cross‑functional team

Why this role might suit you

A quantitative analyst with strong statistical and programming skills can contribute to building and enhancing credit loss models, gaining exposure to regulatory frameworks like IFRS 9 while working in a collaborative banking environment.

Skills

pythonrstatistical-modelingdata-analysisdata-visualizationcredit-risk-modeling

About the role

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.

Join our dynamic team IFRS9 team as a Risk Analyst and be part of an innovative environment where you’ll play a crucial role in building expected credit loss models for PC Bank’s growing suite of financial products. As a risk analyst, you will contribute to driving business meaning and enhancements to existing models, using your curiosity and data storytelling skills to unravel the stories hidden within the data. This role offers a rewarding and fun experience, providing an opportunity to make a tangible impact on the bank’s risk management strategies while fostering professional growth and development.

What You’ll Do:

Collaborate with cross-functional teams to develop and enhance expected credit loss models, ensuring compliance with regulatory requirements and industry standard processes.

Conduct in-depth data analysis and interpret complex financial data to identify patterns, trends, and potential risks.

Apply statistical techniques and quantitative methods to validate, calibrate, and back test credit risk models.

Engage with partners to understand business requirements and translate them into analytical solutions that enhance decision-making processes.

Create insightful reports, presentations, and dashboards to communicate model outputs, findings, and recommendations effectively.

Stay updated on emerging industry trends, regulatory changes, and advancements in credit risk modeling methodologies to continuously improve existing models.

Collaborate with the risk management team to implement model enhancements and provide ongoing support for model performance monitoring and validation.

What You Bring:

Bachelor’s or Master’s degree in a quantitative field such as Mathematics, Statistics, Economics, or related fields.

Demonstrated experience in risk management, credit risk modeling, or a similar analytical role within the financial services industry.

Strong proficiency in statistical modeling techniques, data analysis, and quantitative methodologies.

Proficient in programming languages such as Python or R, with experience in data manipulation, analysis, and visualization.

Excellent communication skills, with the ability to effectively convey complex concepts and findings to both technical and non-technical partners.

A passion for storytelling with data and the ability to uncover meaningful insights to drive business decisions.

Detail-oriented mentality, with strong problem-solving and critical thinking skills.

Familiarity with regulatory requirements related to credit risk models (IFRS 9, CECL, etc.) is a plus.

Ability to work in a collaborative team environment and manage multiple priorities with a positive and adaptable attitude.

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.

Hiring Range / Échelle salariale à l’embauche :

$52,000.00 - $71,500.00 / 52.000,00$ - 71.500,00$ (per year / par an)

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#SS #LEGAL #ON

Compensation

This Data Analyst role pays $52k-$72k/yr. Within typical range for data analyst roles in Canada.

Questions about this role

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