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 skilled 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.

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