AML model validation leads this manager role, using solid Python skills across financial services models. The work spans AML, treasury, and credit risk.
With 3+ years in quantitative modelling or model validation, you will assess transaction monitoring and customer risk rating models. You will also examine treasury and credit risk models, including ICAAP stress testing, interest rate risk, liquidity, IFRS 9, and AIRB. The role values clear communication with technical peers and management.
Key Responsibilities: Validate AML, treasury, and credit risk models
Review documentation, assumptions, data, methodology, and performance
Run outcome, sensitivity, scenario, and benchmark testing
Write reports defining limitations and effective use
Provide independent feedback to model developers
Requirements: 3+ years in quantitative modelling or model validation
Experience validating or developing AML models
Strong Python skills; MATLAB is a plus
Master's degree in a quantitative field
Ability to explain complex concepts clearly
Apply model validation, AML expertise, and Python analysis across risk models under the Bank's Model Risk Management Framework.

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📌 AML Model Validation Manager (Ontario)
🏢 S.I. Systems
📍 Ontario