Chief Advisor Financial Crime Validation; Hybrid

Attendance

Hybrid

Job number

32802

Category

Senior Professional

Status: Permanent

Type of Contract

Permanent

Schedule: Full-Time

Full Time / Part Time?

Full-Time

Posting date

15-May-2026

Area(s) of interest: Risk management, Business intelligence and data

Location(s): Calgary, Edmonton, Montreal, Toronto

A career as a Senior Advisor – Validation of Financial Crime Models on the Model Risk Management team at National Bank means acting as an independent specialist
· in assessing and validating financial crime models.

This position allows you to have a concrete impact on the soundness of the Bank's risk management framework, thanks to your quantitative expertise, regulatory judgement and your ability to take a critical and rigourous look at complex models.

In this role, you contribute directly to the reliability of strategic and regulatory decisions related to financial crime risk, while working in a stimulating, collaborative and quality-oriented environment.
· This position is positioned within the second line of defence and plays a key role in ensuring robustness. Consistency and regulatory compliance this includes PCMLTF and fraud risk assessment models used by the Bank in accordance with regulatory requirements and internal policies.

Your job

• 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 2st 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 clear, 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 practises
• 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 rigourous 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.

Your team

Within the Risk Management, Model Validation sector, you will be part of a team of committed colleagues and report to the Senior Manager, Model Validation. Our team stands out for its in-depth expertise, analytical rigour and ability to exercise an independent critical eye and work in an agile, proactive and collaborative manner to ensure rigourous governance of models and support informed decision-making.

Our goal is to offer you maximum flexibility to promote your quality of life, thanks to a hybrid work environment and a flexible, adaptable schedule.

The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.

Prerequisites

• A master's degree in statistics, finance, mathematics, data science, or a related quantitative field with relevant experience.
• Significant experience (at least 5 years) in model validation, model development or quantitative research in financial crime
• Solid knowledge of regulatory frameworks and the expectations of supervisory authorities regarding financial crime
• Master the concepts, schemes and risks related to money laundering and terrorist financing, sanctions and fraud.
• Advanced expertise in machine learning techniques and hands-on experience with analytical tools such as Python, SQL, SAS.

Languages:

English, French

Reason to require this language: you will need to discuss frequently…