- 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.
- Solid 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.

📌 Senior Manager (Toronto)
🏢 S.I. Systems
📍 Toronto