Senior Director AI Model Validation (Quebec City)

Overview

A senior director AI/ML Models Validation in the Model Risk Management team at National Bank is responsible for leading independent validation of AI and machine learning models. The role has a direct impact on strengthening the reliability, governance, and sustainability of models that influence business decisions, customer outcomes, and risk management through advanced analytics, model risk, and strategic leadership.

Responsibilities

• Define and oversee the enterprise strategy, operating model, and validation plan for AI and machine learning models based on risk, materiality, and model inventory coverage.
• Lead, develop, and coach a team of model validators by setting clear expectations, supporting skills development, and ensuring consistent quality standards.
• Provide independent validation and effective challenge of AI and machine learning models before and after production use, covering conceptual soundness, assumptions, data suitability, and fitness for purpose.
• Oversee the design and execution of validation testing, including benchmarking, replication, sensitivity and robustness analyses, performance monitoring, and outcome testing.
• Assess model risks related to modern AI and machine learning techniques, including stability, drift, generalization, operational resilience, explainability, and bias where applicable.
• Drive issue management and remediation by defining severity, agreeing on corrective actions, monitoring progress to closure, and confirming effectiveness through independent re-testing.
• Spearhead and champion the development of AI validation tools across the Model Validation Group.

Qualifications

• Hold at least a bachelor’s degree and 6 to 10 years of experience in model risk, model validation, or related fields, including significant experience with AI/ML models.
• Demonstrated experience leading and managing teams within model validation, quantitative risk, data science governance, or an independent challenge function.
• Strong expertise in statistics, machine learning, and validation methodologies, including testing design, performance evaluation, and lifecycle controls.
• Proficiency with analytics and data environments, including Python or R and SQL, with the ability to review code, pipelines, and model outputs.
• In‑depth knowledge of model risk management frameworks, including documentation standards, change management, auditability, issue tracking, and ongoing monitoring.

Benefits

• Health and wellness program, including many options.
• Flexible group insurance.
• Generous pension plan.
• Employee Share Ownership Plan.
• Employee and family assistance program.
• Preferential banking services.
• Involvement in community initiatives.
• Telemedicine service.
• Virtual sleep clinic.

Hybrid work environment and an adaptable schedule are offered to support work‑life quality. The Bank values continuous development and internal mobility, providing personalized training programs such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring support.

Equal Opportunity Statement

We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates.