Chief Advisor - Financial Crime Validation - laval, Laval

Senior Advisor – Validation of Financial Crime Models A career as a Senior Advisor on the Model Risk Management team at National Bank means acting as an independent specialist in assessing and validating financial crime models, allowing you to have a concrete impact on the soundness of the bank’s risk management framework. Responsibilities - Independently carry out end-to-end validation of financial crime models, including monitoring, screening, due diligence and country risk models. - Perform analyses to assess the conceptual soundness of the proposed models and carry out the effective challenge as the second line of defence for quantitative models developed internally and externally, covering verifying data, model design, model assumptions, weaknesses and limitations, model performance and documentation, assessment of inherent risk in models and their implementation. - Provide explicit, defensible and documented validation opinions, including risk levels and related recommendations. - Contribute to the evolution of risk management frameworks, policies and standards for models based on regulatory requirements and market best practices. - Serve as a senior point of contact for key stakeholders, including modelling teams and model owners, model risk management, governance committees and senior management, providing a rigorous independent challenge. - Lead and coordinate the work of external consultants supporting validation activities, including the scope of mandates, ensuring methodological consistency, reviewing deliverables and maintaining a high level of quality in compliance with internal validation standards and regulatory expectations. Team You will be part of the Risk Management, Model Validation sector and report to the Senior Manager, Model Validation. The team emphasizes analytical rigour, an independent critical eye and agile collaboration to ensure rigorous governance of models. Prerequisites - A master’s degree in statistics, finance, mathematics, data science, or a related quantitative field with relevant experience. - At least five years of experience in model validation, model development or quantitative research in financial crime. - Solid knowledge of regulatory frameworks and supervisory expectations regarding financial crime. - Mastery of money laundering, terrorist financing, sanctions and fraud concepts, schemes and risks. - Advanced expertise in machine learning techniques and hands‑on experience with analytic tools such as Python, SQL and SAS. Benefits - Competitive compensation and a range of flexible benefits, including a health and wellness program. - Flexible group insurance. - Generous pension plan. - Employee Share Ownership Plan. - Employee and family assistance program. - Preferential banking services. - Community initiative involvement. - Telemedicine service. - Virtual sleep clinic. We welcome all candidates and strive to provide an accessible workplace during the recruitment process. If you require accommodations, please let us know during our initial conversations. Apply on Kit Job: kitjob.ca/job/2psgm2