Apply quantitative modelling and AI expertise as a Senior Data Scientist with National Bank’s Credit Risk Analytics team in Richmond Hill. This position offers hybrid work and a versatile, adaptable schedule.

You will act as a hands-on subject matter expert in credit risk modelling and economic capital analytics. The specialized team supports capital, IFRS 9, and stress testing activities. Your work will strengthen risk measurement through advanced data analysis, automation, and analytical reporting.

Key Responsibilities:

- Develop and enhance economic capital and ICAAP processes
- Build concentration risk, economic capital, and ICAAP models
- Modernize reporting with AI tools and automation
- Execute monthly and quarterly risk measurement processes




- Analyze capital results and prepare materials for stakeholders

Requirements:

- Master’s degree in a relevant quantitative discipline
- Three to five years of financial institution risk experience
- Strong Python, SQL, SAS, or analytical programming capabilities
- Advanced quantitative and statistical modelling expertise
- Experience with economic capital or stress testing methodologies

Bring credit risk modelling, AI, Python, and economic capital expertise to National Bank’s Richmond Hill analytics team.

📌 Senior Credit Risk Data Scientist (Richmond Hill)
🏢 Banque Nationale du Canada
📍 Richmond Hill