Senior Data Scientist - Model validation

A career as a Senior Data Scientist within the Credit Governance and Quality team at National Bank means acting as a recognized expert in credit decision model validation. In this role, you will have a direct impact on the organization through your expertise in retail credit, credit risk modeling, and decision model governance. You will contribute to ensuring the soundness, effectiveness, and regulatory compliance of credit decision models while supporting strategic initiatives across the organization. Your role Assess the robustness of credit decision models for Retail Banking and Small and Medium-Sized Enterprises by challenging statistical methodologies, assumptions, limitations, and regulatory compliance. Recommend the approval of credit decision models by ensuring that documentation is complete, accurate, and aligned with internal standards and guidelines. Identify risks related to the approval, implementation, and use of models, and communicate significant issues and performance concerns to management. Monitor model performance in production to ensure alignment with risk appetite, governance frameworks, and regulatory requirements throughout the model lifecycle. Prepare clear and structured validation reports highlighting findings, conclusions, recommendations, and impacts on risk management practices. Collaborate with business units, modeling teams, governance professionals, technology teams, and operations partners to influence strategic decisions and support the successful implementation of initiatives. Your team The Credit Governance and Quality sector within the Credit Analytics and Integrated Risk Management Executive Vice-Presidency brings together more than 35 specialists who collaborate to develop innovative solutions tailored to evolving industry challenges. You will join a team recognized for its diverse expertise, rigor, and commitment to delivering high-quality results. We strive to offer flexibility that supports work-life balance through a hybrid work environment and adaptable scheduling options. National Bank values continuous development and internal mobility. Our personalized training programs, based on learning by doing, help you master your role and develop new areas of expertise. Resources such as the Data Academy, language training, Harvard Learning Center, coaching, and mentoring are available to you at all times. Prerequisites Bachelor's degree in a related field and five years of relevant experience, or Master's degree in a related field and three years of relevant experience. Strong expertise in quantitative methods, including statistical modeling and artificial intelligence techniques. Proficiency with SAS, R, or Python. Experience in credit risk management. Good knowledge of Retail Banking and Small and Medium-Sized Enterprise business sectors and products. Languages: French, English Reason to require this language: you will need to collaborate with a regulator/authority/government body outside Quebec. Required skills: Banking, Business Acumen, Data Structures, Data Visualization, Detail-oriented, Influencing, Initiative, Innovation, Interpersonal Skills, Leadership, Learning Agility, Problem Solving, Resiliency, Self-Sufficiency Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as: * 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 We have an offer that keeps up with trends as well as your needs and those of your family. Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged. Making a bold move in a people-first environment We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees. 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! What can you bring to our team? Join us!

The role involves validating credit decision models for Retail Banking and SMEs by challenging statistical methodologies and ensuring regulatory compliance. Responsibilities include monitoring model performance in production and preparing structured validation reports for management.

Requires a Bachelor's degree with five years of experience or a Master's degree with three years of experience in a related field. Proficiency in SAS, R, or Python and strong expertise in quantitative methods and credit risk management are essential.

• Health And Wellness Program • 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

• Data visualizationPreferred
• Problem solvingPreferred
• interpersonal skillsPreferred
• LeadershipPreferred
• Detail-orientedPreferred

Identified from the job description. Confirm important requirements above.

• Banking
• Business Acumen
• Data Structures
• Data Visualization
• Detail-oriented
• Influencing
• Initiative
• Innovation
• Interpersonal Skills
• Leadership
• Learning Agility
• Problem Solving
• Resiliency
• Self-Sufficiency

• Data & Analytics
• Finance & Accounting
• Technology
• Engineering
• Science & Research

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Apply by

Oct 1, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Not Applicable