- Validate models across AML, treasury, and credit risk, including transaction monitoring, customer risk rating, ICAAP stress testing, interest rate risk, liquidity, IFRS 9, and AIRB.
- Review model documentation, assumptions, methodology, data, implementation, and performance.
- Run outcome, sensitivity, scenario, and benchmark testing, mainly in Python.
- Write validation reports that identify limitations, define the model's effective range of use, and assess model risk under the Bank's Model Risk Management Framework.
- Give model developers practical, independent feedback, focusing on the issues that matter.
- Support governance work such as annual attestations, model inventory tracking, and risk reporting. What you bring
- Experience validating or developing AML models. This is the top priority for the team.
- Exposure to treasury or credit risk models. Treasury, ICAAP, and stress testing experience is a strong plus.
- A Master's in a quantitative field. A mathematics or mathematical finance background is preferred. A PhD is an asset.
- Model development experience, alongside or before validation, is a strong asset.
- Robust Python skills. MATLAB is a plus.
- Familiarity with OSFI's Capital Adequacy Requirements (CAR) and IFRS 9 is an asset.
- Insurance modelling experience is an asset.
- The ability to explain complex concepts clearly to both technical peers and management. Two rounds: a technical interview with a director, then a conversation with the VP, Model Risk Management.

What you'll do
- Validate models across AML, treasury, and credit risk, including transaction monitoring, customer risk rating,



ICAAP stress testing, interest rate risk, liquidity, IFRS 9, and AIRB.
- Review model documentation, assumptions, methodology, data, implementation, and performance.
- Run outcome, sensitivity, scenario, and benchmark testing, mainly in Python.
- Write validation reports that identify limitations, define the model's effective range of use, and assess model risk under the Bank's Model Risk Management Framework.
- Give model developers practical, independent feedback, focusing on the issues that matter.
- Support governance work such as annual attestations, model inventory tracking, and risk reporting. What you bring
- 3+ years in quantitative modelling or model validation in financial services (5 preferred).
- Experience validating or developing AML models. This is the top priority for the team.
- Exposure to treasury or credit risk models. Treasury, ICAAP, and stress testing experience is a strong plus.
- A Master's in a quantitative field. A mathematics or mathematical finance background is preferred. A PhD is an asset.
- Model development experience, alongside or before validation, is a strong asset.
- Strong Python skills. MATLAB is a plus.
- Familiarity with OSFI's Capital Adequacy Requirements (CAR) and IFRS 9 is an asset.
- Insurance modelling experience is an asset.
- The ability to explain complex concepts clearly to both technical peers and management. Interview process Two rounds: a technical interview with a director, then a conversation with the VP, Model Risk Management. Disclaimer: AI may be used in evaluating candidates. This posting is for an existing vacancy.

📌 Manager - Model Validation (Toronto)
🏢 S.I. Systems
📍 Toronto