Senior Credit Risk Data Scientist - EC & AI Analytics (Hybrid)

Banque Nationale du Canada; Richmond Hill; Hybrid; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Health and wellness program

Employee Share Ownership Plan

Employee and family assistance program

Preferential banking services

Involvement in community initiatives

Virtual sleep clinic

Job summary

Banque Nationale du Canada in Richmond Hill, Ontario, seeks a Senior Data Scientist to lead hands‑on credit risk modelling and economic capital analytics within the Credit Risk Analytics team. You’ll drive EC and ICAAP improvements, model development, and risk reporting, leveraging AI to enhance efficiency and insights.

Based in a hybrid work environment, you’ll collaborate with Finance, IT, and risk teams, support IFRS 9 and stress testing, and present analyses to senior management and

Qualifications

• Hold a master's degree in a relevant field such as data science, financial engineering, statistics, mathematics, economics, computer science, or a related discipline.
• Have 3 to 5 years of experience in risk management, credit risk analytics, risk modelling, risk reporting, or a related quantitative discipline within a financial institution.
• Demonstrate strong programming capabilities using tools such as Python, SQL, SAS, or other analytical programming languages.
• Demonstrate ability to effectively and efficiently use AI tools to support quantitative modelling, risk analysis and reporting.
• Possess advanced quantitative and statistical modelling expertise, with experience developing, validating, or supporting risk models.
• Have experience working with economic capital models, stress testing, credit risk measurement frameworks, or related risk analytics methodologies.
• Knowledge of Moody’s RiskFrontier platform or similar credit portfolio risk management solutions is considered an asset.

Responsibilities

• Develop and enhance Credit Economic Capital (EC) and ICAAP processes to support new product launch, new portfolio integration, data migration, and internal and external reporting requirement.
• Develop and enhance EC, ICAAP, and concentration risk models.
• Modernize EC, ICAAP, and other risk reporting processes with effective use of AI tools, improving efficiency, automation, and analytical capabilities.
• Manage and execute EC and ICAAP production and reporting processes to support monthly and quarterly risk measurement activities.
• Perform in-depth analysis of capital results, identify key drivers of capital movements, and prepare clear and insightful materials for senior management, internal stakeholders, and regulators.
• Support model development, implementation, and back-testing across other credit risk areas, including IFRS 9 and stress testing.
• Collaborate with Finance, IT, Business, AIRB Model Development, Model Validation, and Internal Audit to support model development initiatives and analytical projects.

Skills

Credit risk modelling

Economic Capital

AI tools

Python

SQL

Statistical analysis

Risk reporting

IFRS 9

Back-testing

Stakeholder communication

Education

Master's degree (data science / financial engineering / statistics / economics / CS)

Tools

Moody's RiskFrontier

Job description

Banque Nationale du Canada in Richmond Hill, Ontario, seeks a Senior Data Scientist to lead hands‑on credit risk modelling and economic capital analytics within the Credit Risk Analytics team. You’ll drive EC and ICAAP improvements, model development, and risk reporting, leveraging AI to enhance efficiency and insights.

Based in a hybrid work environment, you’ll collaborate with Finance, IT, and risk teams, support IFRS 9 and stress testing, and present analyses to senior management and