Manager, PPNR Modeling

Scotiabank•Toronto, ON

9d•Onsite

About The Position

The successful candidate will work on enterprise stress testing projects and support the development, implementation, analysis, and reporting of models for the Bank’s balance sheet and income statement across major products and business lines. The role requires strong quantitative skills, programming capability, clear communication, and an interest in learning financial concepts from business lines.

Requirements

Degree in Economics, Finance, Statistics, Mathematics, Engineering, or another related quantitative discipline.
Hands-on experience in statistical model development, model validation, or data analytics.
Proficiency in Python, including common data science and visualization libraries such as Pandas, NumPy, and Plotly.
Experience with version control tools such as Git.
Strong adaptability, ability to learn new concepts quickly, and interest in building financial knowledge.
Ability to communicate effectively and work collaboratively with stakeholders across diverse areas.
Demonstrates sound judgment, professionalism, time management, and teamwork skills.

Nice To Haves

Knowledge of statistical or econometric modelling and accounting is preferred.

Responsibilities

Work on statistical models to project PPNR (Pre-Provision Net Revenue) as a function of macroeconomic time series variables, using historical data, internal expertise, and scenario assumptions.
Execute stress testing exercises, apply models across business lines, and support the production of scenario-based outputs.
Analyze model outputs, explain key drivers, document assumptions and modelling processes, and prepare materials for internal stakeholders and external regulators.
Identify automation opportunities, improve production workflows, optimize code, and develop visualization tools to support model development and results review.
Support supplementary analysis and methodology development for emerging risk themes such as climate change, geopolitical risk, consumer indebtedness, and housing market pressures.
Work with business lines, model validation, internal audit, other model development teams, and other stakeholders to explain results, support model alignment, and respond to inquiries.