Analyst, Credit Risk

PC FinancialToronto, ON
CA$52,000 - CA$71,500Onsite

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

  • 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.

Benefits

  • Accommodation is available upon request for applicants and colleagues with disabilities.
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