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A career as a Model Risk Governance Senior Analyst in the Model Risk Management team at National Bank means acting as an early-career governance professional supporting the evolution, documentation and operationalization of the Bank’s established model risk governance framework. You will contribute to strengthening, documenting and operationalizing the Bank’s model risk governance framework. You work collaboratively with multiple stakeholders to support the consistent application of governance, regulatory and model risk management expectations

In this role, you help translate regulatory expectations, internal requirements and governance practices into clear documentation, guidance and practical tools. This position is ideal for someone with a quantitative, financial engineering, finance or related background who also has a strong interest in governance, regulation, risk management and financial services.

This role is well suited to someone who is curious, proactive, agile and motivated to learn, with the ability to quickly absorb new concepts, structure information with rigour and turn complex requirements into concrete, practical and applicable solutions.

Your job

• Contribute to the design, enhancement and operationalization of the Bank’s model risk governance framework, including policies, standards, procedures, roles and responsibilities, and supporting governance documentation.
• Translate governance requirements into practical implementation material, including procedures, guidance documents, control expectations, process maps, stakeholder communications, training content and adoption tools.
• Maintain and enhance traceability mappings between external regulatory expectations, internal requirements, governance processes, controls and model risk management practices.
• Prepare high-qualitybriefing notes and presentation materials to support framework updates, impact assessments, governance forums, senior management discussions and regulatory or audit responses.
• Contribute to the identification of governance gaps, emerging risks and opportunities for framework improvement by analyzing regulatory developments, industry practices, internal observations, validation themes and audit outcomes.
• Collaborate with model risk governance, model validation, business lines, technology, data, compliance, legal and internal audit teams to promote a consistent interpretation and application of model risk governance expectations across the organization.
• Support change management activities related to framework updates, including stakeholder engagement, communications, training, implementation tracking and follow-up on adoption progress.
• Contribute to governance reporting and oversight activities, including the preparation of materials for committees, working groups and management forums.
• Help promote consistency, transparency and accountability in model risk governance practices by clarifying requirements, documenting decisions and supporting effective challenge across relevant processes.
• Monitor regulatory, supervisory and industry developments to identify trends and emerging expectations relevant to model risk governance, artificial intelligence, machine learning, data, technology and risk management practices.
• Support continuous improvement initiatives that enhance the maturity, effectiveness and sustainability of the Bank’s model risk governance operating model.

Your team

Within the Model Risk Management group, you are part of a team of professionals who provide second line of defence oversight for model risk across the Bank. You report to the Senior Director, Model Risk Governance.

Our team stands out for its analytical rigour, proactive governance mindset, collaborative approach and ability to influence model stakeholders across the Bank.

We ultimately aim to offer you maximum flexibility and quality of life. This notably means a hybrid work environment, as well as adaptable working hours.

The Bank values continuous development and internal mobility. Our personalized training programs enable you to master your job and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center as well as coaching and mentoring support are available to you at all times.

Prerequisites

• Hold a bachelor’s or master’s degree in financial engineering, finance, economics, mathematics, statistics, engineering, data science, risk management, law or a related field.
• Demonstrate a strong interest in model risk management, financial regulation, governance frameworks, risk management and financial services.
• Show strong motivation to learn, intellectual agility, curiosity and the ability to quickly absorb new concepts, requirements and practices.
• Bring a proactive mindset, with the ability to anticipate needs, take initiative, ask the right questions and move deliverables forward with rigour and autonomy.
• Possess a good quantitative foundation, with the ability to understand model risk concepts while applying a governance, regulatory and control-oriented mindset.
• Demonstrate strong analytical skills, sound judgment, structured thinking and the ability to quickly connect requirements across policies, frameworks, controls and practices.
• Be comfortable working in an evolving environment, with the ability to manage multiple priorities, adapt quickly and produce clear, practical and high-quality deliverables.
• Have exposure to risk management, model risk, compliance, internal audit, financial regulation, policy, governance or analytics through internships, co-op terms, academic projects or professional experience.
• Possess excellent writing skills, with the ability to produce clear, structured and practical documentation, summaries, guidance material and presentation content.
• Be able to simplify complex regulatory, governance or risk concepts and explain them clearly to different audiences.
• Demonstrate strong attention to detail, organizational skills and a disciplined approach to documentation, follow-up and implementation support.
• Demonstrate strong collaboration skills, with the confidence to engage with different stakeholders, ask clarifying questions and contribute constructively to discussions.
• Be proficient with Microsoft Office, particularly Word, PowerPoint and Excel. Experience with data analysis tools, reporting tools, workflow tools or governance platforms is an asset.