Senior Manager - Model Validation

• Lead validations across AML, treasury, and credit risk, including transaction monitoring, customer risk rating, ICAAP and enterprise-wide stress testing, interest rate risk, liquidity, IFRS 9, and AIRB.
• Set the validation strategy and plan for each review.
• Challenge model methodology, assumptions, data, and implementation, and separate material issues from minor ones.
• Run and review outcome, sensitivity, scenario, and benchmark testing, mainly in Python.
• Write validation reports and present findings to developers, business owners, and senior management.
• Act as a trusted advisor to model owners while keeping validation independent.
• Support governance work such as regulatory self-assessments, annual attestations, and risk reporting.
• Over time, mentor and supervise junior validators.

What you bring

• Experience validating or developing AML models. This is the top priority for the team.
• Treasury and stress testing experience (ICAAP, enterprise-wide stress testing, IRRBB, liquidity). Credit risk experience is also valued.
• Working knowledge of OSFI's Capital Adequacy Requirements (CAR), ICAAP expectations, and IFRS 9.
• A Master's in a quantitative field. A mathematics or mathematical finance background is strongly preferred. A PhD is an asset.
• Model development experience before or alongside validation.
• Strong Python skills. MATLAB is a plus.
• Insurance modelling experience is an asset.
• Excellent communication, with a track record of explaining complex findings to non-technical audiences.

Two rounds: a technical interview with a director, then a conversation with the VP, Model Risk Management.

What you'll do

• Lead validations across AML, treasury, and credit risk, including transaction monitoring, customer risk rating, ICAAP and enterprise-wide stress testing, interest rate risk, liquidity, IFRS 9, and AIRB.
• Set the validation strategy and plan for each review.
• Challenge model methodology, assumptions, data, and implementation, and separate material issues from minor ones.
• Run and review outcome, sensitivity, scenario, and benchmark testing, mainly in Python.
• Write validation reports and present findings to developers, business owners, and senior management.
• Act as a trusted advisor to model owners while keeping validation independent.
• Support governance work such as regulatory self-assessments, annual attestations, and risk reporting.
• Over time, mentor and supervise junior validators.

What you bring

• 5+ years in quantitative modelling or model validation in financial services (7 preferred).
• Experience validating or developing AML models. This is the top priority for the team.
• Treasury and stress testing experience (ICAAP, enterprise-wide stress testing, IRRBB, liquidity). Credit risk experience is also valued.
• Working knowledge of OSFI's Capital Adequacy Requirements (CAR), ICAAP expectations, and IFRS 9.
• A Master's in a quantitative field. A mathematics or mathematical finance background is strongly preferred. A PhD is an asset.
• Model development experience before or alongside validation.
• Strong Python skills. MATLAB is a plus.
• Insurance modelling experience is an asset.
• Excellent communication, with a track record of explaining complex findings to non-technical audiences.

Interview process

Two rounds: a technical interview with a director, then a conversation with the VP, Model Risk Management.