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