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Credit Risk Model Validation Jobs in Ontario (NOW HIRING)

Peoples Group

AVP Credit Risk Modelling

Toronto, ON · Hybrid

Working closely with Credit Risk Management and Finance to set credit loss provisions for the loan ... Owner of Expected Credit Loss models and methodology, running them on a quarterly basis

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Showing results 21-40

All JobsCredit Risk Model Validation JobsCredit Risk Model Validation Jobs in Ontario

Credit Risk Model Validation information

See Ontario salary details

$23K

$110.4K

$199K

How much do credit risk model validation jobs pay per year?

As of Aug 8, 2026, the average yearly pay for credit risk model validation in Ontario is $110,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $143,000.00 per year, depending on experience, location, and employer.

What is credit risk model validation?

Credit risk model validation is the process of ensuring that models used to assess the creditworthiness of borrowers are accurate, reliable, and compliant with regulatory standards. This involves independent review and testing of the model's design, data, assumptions, and performance. The goal is to identify any weaknesses or limitations that could affect the model's ability to predict credit risk, reduce financial losses, and maintain regulatory compliance. Model validation is typically performed by specialists who are not involved in the model's development to ensure objectivity.

What are the key skills and qualifications needed to thrive in credit risk model validation, and why are they important?

To thrive in Credit Risk Model Validation, you need a strong background in quantitative finance, statistics, and risk management, usually supported by a relevant degree such as in mathematics, finance, or engineering. Familiarity with statistical programming languages (such as Python, R, or SAS), model validation frameworks, and regulatory guidelines like Basel accords is crucial. Attention to detail, critical thinking, and clear communication skills help you effectively analyze models and convey complex findings to stakeholders. These competencies are vital for ensuring accurate risk assessment, regulatory compliance, and the robustness of financial institutions' credit risk models.

What is the difference between Credit Risk Model Validation vs Credit Risk Analyst?

AspectCredit Risk Model ValidationCredit Risk Analyst
Primary FocusAssessing and validating the accuracy of credit risk modelsAnalyzing credit data to assess borrower risk and support lending decisions
Skills & CertificationsStatistical, quantitative skills; certifications like FRM or CFA often preferredFinancial analysis skills; relevant certifications like CFA or credit-specific training
Work EnvironmentQuantitative teams within risk management or model validation unitsCredit departments, lending teams, or risk management units

While both roles involve credit risk, Credit Risk Model Validation focuses on testing and validating models' accuracy, whereas Credit Risk Analysts evaluate individual creditworthiness to inform lending decisions. The validation role is more technical and model-focused, while analysts work directly with credit data and client assessments.

What are some common challenges faced by professionals in credit risk model validation roles?

Professionals in Credit Risk Model Validation often encounter challenges such as staying up-to-date with evolving regulatory requirements and ensuring models remain compliant. They must also navigate the complexities of validating models that use advanced statistical techniques or machine learning, which requires both technical expertise and a thorough understanding of the underlying business context. Additionally, clear communication with stakeholders—like model developers, auditors, and risk managers—is essential to address findings and recommend improvements effectively. Managing tight deadlines and balancing multiple validation projects simultaneously can also be demanding.
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What job categories do people searching Credit Risk Model Validation jobs in Ontario look for? The top searched job categories for Credit Risk Model Validation jobs in Ontario are:
Credit Risk Model Validation jobs near you
Infographic showing various Credit Risk Model Validation job openings in Ontario as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $110,417 per year, or $53.1 per hour.

Director, Fundamental Credit Risk

Healthcare of Ontario Pension Plan

Toronto, ON

Full-time

Medical, Dental, Retirement

Re-posted yesterday

Job description

Why you'll love working here:

  • high-performance, people-focused culture

  • our commitment that equity, diversity, and inclusion are fundamental to our work environment and business success, which helps employees feel valued and empowered to be their authentic selves

  • learning and development initiatives, including workshops, Speaker Series events and access to LinkedIn Learning, that support employees' career growth

  • membership in HOOPP's world class defined benefit pensionplan, which can serve as an important part of your retirement security

  • competitive, 100% company-paid extended health and dental benefits for permanent employees, including coverage supporting our team's diversity and mental health (e.g., gender affirmation, fertility and drug treatment, psychological support benefits of $2,500 per year, parental leave top-up, and a health spending account).

  • optional post-retirement health and dental benefits subsidized at 50%

  • yoga classes, meditation workshops, nutritional consultations, and wellness seminars

  • the opportunity to make a difference and help take care of those who care for us, byproviding a financially secure retirement for Ontario healthcare workers

Job Summary

The Director, Fundamental Credit Risk supports the objectives of the Risk and Strategy function by providing independent, rigorous credit risk assessment and advisory support for public and private debt investments. Working closely with investment teams, technology partners, and risk specialists, the role delivers value-added transaction reviews, applies internal credit assessment methodologies, and contributes to the development of effective credit monitoring practices. The position plays a key role in ensuring that credit risks are appropriately identified, evaluated, and communicated to support informed investment decision-making and portfolio resilience.

  • Provide independent credit risk assessment and transaction review for debt investments
  • Partner with investment teams to support risk-informed decision-making.
  • Strengthen internal credit assessment and monitoring practices through the use of advanced analytics, including artificial intelligence, and leading industry practices.

What you will do:

  • Conduct independent credit assessments of private and selected public debt investments by reviewing investment proposals, financial statements, projections, and structural features to evaluate risk-return adequacy.
  • Own the execution and ongoing development of the internal credit assessment and rating framework for private credit and structured debt investments, leveraging advanced analytics (including AI) and leading industry practices to strengthen risk evaluation.
  • Provide timely, practical, and well-reasoned credit risk advice to investment teams throughout the transaction lifecycle while maintaining independent risk judgment.
  • Analyze complex financing structures, including cash flow priorities, covenant frameworks, collateral arrangements, and downside protection mechanisms.
  • Support ongoing credit surveillance through regular monitoring of portfolio exposures, financial performance, third-party research, and relevant market developments.
  • Identify, synthesize, and communicate emerging credit risks, trends, and potential credit events to senior stakeholders, providing clear recommendations aligned with portfolio objectives.

What you bring:

  • University degree in finance, economics, business, or a related discipline.
  • 5+ years of progressive experience in credit risk analysis, private credit, structured finance, or related investment risk roles, with a strong focus on private and complex debt investments.
  • Master's degree in a relevant discipline and/or professional risk or investment designation.
  • Advanced expertise in credit risk analysis for private debt and complex financing structures, including the ability to assess structural protections, downside risk, and recovery outcomes.
  • Strong financial analysis skills, including the evaluation of financial statements, business models, cash flow projections, and stress scenarios.
  • Demonstrated ability to apply and interpret internal or external credit assessment frameworks for illiquid and non-public investments.
  • Strong judgment and analytical rigor, with the confidence to challenge assumptions and investment theses constructively.
  • Excellent written and verbal communication skills, with the ability to clearly articulate credit risks and recommendations to senior and diverse stakeholders.

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