Lead IFRS-9 reporting and credit risk analytics at National Bank, using Python, SAS/SQL, and complex enterprise data. Support robust processes across risk functions.
As a Senior Data Scientist within National Bank’s IFRS-9 and Credit Risk Analytics team, you will manage reporting, risk data, and process development. You will analyze expected credit loss results, interpret regulatory requirements, and deliver materials for stakeholders, auditors, regulators, and senior management. The role also supports RWA, Economic Capital, risk-based pricing, and stress testing.
Key Responsibilities: Manage IFRS-9 reporting processes and deliver accurate ECL results
Analyze ECL movements and identify key drivers
Lead risk processes for products, acquisitions, migrations, and reporting




Validate process inputs and outputs for governance
Coach junior members in reporting, analysis, and data management
Requirements: Master’s degree in a relevant quantitative or technical field
Three to five years of qualified risk management experience
Hands-on SAS/SQL, Python, Excel, and VBA experience
Knowledge of IFRS-9 and regulatory requirements
Experience managing complex enterprise-level data sets
Apply quantitative rigor, IFRS-9 expertise, and Python skills to strengthen National Bank’s credit risk reporting and analytics.

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📌 Senior IRisk Reporting Scientist (Ontario)
🏢 National Bank of Canada
📍 Ontario