Quantitative Risk Modeling Analyst — Stress Testing

Scotiabank; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

Scotiabank in Toronto is seeking a quantitative analyst to work on enterprise stress testing projects, developing models for balance sheet and income statement across major products. The role requires strong quantitative skills, programming capability, and willingness to learn financial concepts.

You will model PPNR, implement stress tests, analyze results for internal stakeholders and regulators, automate workflows, and collaborate with model validation, internal audit, and other teams.

Qualifications

• Degree in Economics, Finance, Statistics, Mathematics, or Engineering; quantitative discipline preferred.
• Hands-on experience in statistical model development, validation, or data analytics; Python and data libraries (Pandas, NumPy, Plotly); Git experience.
• Strong adaptability and ability to learn financial concepts quickly.
• Effective communication and collaboration with stakeholders across diverse areas.
• Experience with stress testing or risk modelling is a plus.

Responsibilities

• Develop statistical models to project PPNR using macroeconomic time series and scenario data.
• Execute stress testing exercises and apply models across business lines; support outputs for scenarios.
• Analyze model outputs, explain drivers, document assumptions and modelling processes for internal/regulatory use.
• Identify automation opportunities; improve production workflows and create visualization tools.
• Support emerging risk analysis and collaborate with model validation, internal audit, and other teams.

Skills

Python

Pandas

NumPy

Plotly

Data analytics

Git

Education

Degree in Economics, Finance, Statistics, Mathematics, Engineering

Tools

Git

Job description

Scotiabank in Toronto is seeking a quantitative analyst to work on enterprise stress testing projects, developing models for balance sheet and income statement across major products. The role requires strong quantitative skills, programming capability, and willingness to learn financial concepts.

You will model PPNR, implement stress tests, analyze results for internal stakeholders and regulators, automate workflows, and collaborate with model validation, internal audit, and other teams.