Director, Counterparty Credit Risk Methodology

Location: Toronto, ON, Canada; hybrid arrangement with 2–3 days per week on-site at Toronto-81 Bay.

Company

A relationship-oriented bank focused on modern banking services and client-centered financial solutions.

What you will do

• Lead the design, development, enhancement, and implementation of counterparty credit risk methodologies and models.
• Support derivatives exposure analytics, trading limit monitoring, regulatory capital, and risk measurement solutions.
• Manage model and methodology lifecycles, including testing, implementation, documentation, monitoring, recalibration, and remediation.
• Lead cross-functional initiatives with Capital Markets, Risk, Technology, Finance, Model Validation, Audit, and Compliance.
• Translate quantitative concepts, methodology decisions, and model risks into clear recommendations for senior leadership and governance forums.
• Provide technical guidance, coaching, and mentorship to junior team members where applicable.

Requirements

• Advanced degree such as a Master’s or PhD in mathematics, statistics, financial engineering, economics, physics, or a related quantitative field.
• Strong knowledge of derivatives pricing, valuation, exposure measurement, and counterparty credit risk methodologies.
• 5+ years of experience in quantitative risk modeling, counterparty credit risk methodology, or a related quantitative risk function.
• Proficiency in Python; experience with C# and object-oriented programming is an asset.
• Experience with model development, testing, implementation, performance monitoring, governance, and control frameworks.
• Must be legally eligible to work in Canada and hold a valid work or study permit where applicable.

Culture & Benefits

• Hybrid work arrangement with flexibility to manage work activities.
• Competitive salary and incentive pay.
• Banking benefits, a benefits program, and a defined benefit pension plan.
• Employee share purchase plan, vacation, wellbeing support, and recognition programs.
• Paid Purpose Day and opportunities for professional growth and development.

Hiring process

• May include an attribute-based assessment and skills testing, such as simulation, coding, or French proficiency assessments.
• Artificial intelligence tools may be used during the recruitment process.