Closing Date (MM/DD/YYYY):

12/16/2025

Worker Type:

Permanent

Language(s) Required:

English

Term Duration (in months):

Salary Range (plus eligible to receive a performance based incentive, applicable to position) :

$92,310 - $124,890Join our Model Validation and Risk Management team as a Model Risk Management Analyst, where you’ll validate credit risk, pricing, adjudication and economic models, ensuring they meet regulatory, business and governance standards, and maintain their records in the Model Inventory. You’ll also contribute to policy and standards reviews, manage model governance activities throughout the model life cycle and supervise vendor teams on assigned validation projects.

What you’ll do:

• Conduct independent validation of models used for credit risk, pricing, adjudication and economic forecasting

• Review model design, assumptions, performance metrics, and alignment with business requirements and strategies

• Develop and execute validation test plans using Python and other analytical tools or programming languages

• Prepare comprehensive validation reports and socialize findings with stakeholders, ensuring clarity and actionable recommendations

• Oversee and coordinate vendor teams, ensuring adherence to project timelines and quality standards

• Manage model governance tasks, including maintaining model inventory and ensuring compliance with governance frameworks

• Collaborate with model owners, risk managers and governance teams to address validation findings

• Ensure adherence to internal policies and standards, and actively contribute to their review and revision

• Stay current with regulatory requirements and industry best practices in model risk management

What we’re looking for:

• Analytical thinker who can design and develop strategies that give users the information they need to make informed decisions

• Creative thinker with research, analytical and problem-solving skills

• Confident communicator who can make complex information easy to understand

• Relationship-builder comfortable making recommendations for improvement and socializing validation results

• Ability to manage multiple projects and meet deadlines

• Passion for analysis, insights and storytelling

What you’ll need:

• A bachelor’s degree in agriculture, finance, business, economics, mathematics, statistics or computer science and at least four years of experience (or an equivalent combination of education and experience)

• Proficiency in Python or other programming languages for data analysis, data visualization and model testing

• Strong understanding of statistical and econometric techniques

• Experience with model risk policies, governance frameworks and compliance management, including maintaining model inventory

• The following would be considered assets:

  • Hands-on experience developing or validating financial models, especially those related to credit risk, pricing, adjudication or economic forecasting

  • Knowledge of regulatory guidelines (for example, OSFI E-23, IFRS9, BASEL III)

  • Experience with other programming languages or tools (R, SAS, SQL) and data visualization tools

  • Familiarity with machine learning and advanced analytics validation methods