Manager, Risk Quantification - EN 071

Application deadline: November 1st, 2026 at 12:00PM ET

Position and Compensation

Manager, Model Risk Management. Employment Type: Permanent. Compensation Details: Mgr Quantitative Analysis 19: Salaries typically range from $112,006 to $149,341 annually, based on qualifications and experiences, plus a performance-based incentive.

Location

Export Development Canada operates in a hybrid work environment, with a current requirement of three in-office days per week. This role can be performed from EDC's headquarters in Ottawa or from one of our Community Hubs located in Toronto or Montreal.

Relocation assistance is available for candidates who meet the eligibility criteria. (perm only) Internal Employees, please consult the ServiceNow article entitled Internal movements - what you need to know.

About EDC

At Export Development Canada (EDC), we empower Canadian businesses to succeed globally. As a financial Crown corporation, we offer innovative financial solutions and expert insights to help businesses explore new markets, mitigate risks, and achieve growth.

Why Join EDC?

• Comprehensive Benefits: EDC offers a competitive compensation & benefits package, work-life balance, & the opportunity to help make Canada and the world better through trade.
• Work-Life Balance: EDC offers a competitive compensation package & work-life balance. We have hybrid work options, 3 to 4 weeks paid vacation, a corporate closure period, summer early Friday's & no meeting Fridays.
• Professional Development: Take advantage of our continuous learning opportunities, including training programs, workshops and language training.
• Inclusive Culture: Be part of a diverse and inclusive workplace that champions employment equity & values diversity of ideas, strengths, & backgrounds to succeed.
• Wellness Programs: Access to wellness initiatives, mental health support, and fitness programs to keep you healthy and happy.
• Community Engagement: Participate in volunteer opportunities and give back to the community through our various social responsibility programs.

Team Overview

The Model Risk Management team provides independent oversight and effective challenge of models used across EDC.

The team maintains the model risk management framework, leads risk-based model validation, and supports sound, transparent decision-making throughout the model lifecycle. Working with model owners, business leaders, Risk Management, Internal Audit and technology partners, the team helps EDC manage model risk while enabling responsible innovation, including the use of advanced analytics and artificial intelligence.

What you will be doing

• Lead a team of model risk professionals and oversee independent model validation, governance and reporting activities across EDC.
• Provide credible challenge to model development and use, translate regulatory expectations into practical controls, and advise senior stakeholders on model risk, limitations and remediation priorities.
• Your leadership will strengthen EDC's model risk practices and support the safe, effective use of models and emerging analytical technologies.
• Lead, coach and develop a team of model risk professionals, setting priorities and maintaining high standards for analytical quality, documentation and timely delivery.
• Plan and oversee independent, risk-based validations and reviews of models across relevant risk and business domains, including credit risk, financial risk, forecasting, pricing, valuation, capital, stress testing and advanced analytics.
• Assess model design, conceptual soundness, data quality, implementation, performance, limitations, controls and ongoing monitoring, and communicate clear conclusions and recommendations.
• Provide effective challenge to model developers, owners and users, and oversee the identification, escalation and timely remediation of model findings and risk acceptances.
• Maintain and enhance model risk policies, standards, procedures, inventory, risk-rating methodologies and management reporting in alignment with EDC's risk appetite and applicable regulatory expectations.
• Monitor the model risk profile and prepare concise reporting and recommendations for senior management and governance committees.
• Advise stakeholders on model lifecycle requirements, new model use cases, third-party models, artificial intelligence and machine-learning risks, and proportionate governance approaches.
• Build productive relationships across business and control functions, and support regulatory examinations, internal audits and other assurance activities related to model risk.
• Promote continuous improvement through stronger methods, tools, data, automation and knowledge sharing while preserving the independence of the model risk f