Title:  Manager, PPNR Modeling

Requisition ID: 269344 

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

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.

Is this role right for you? In this role, you will:   

• Model Development: 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.
• Stress Test Implementation: Execute stress testing exercises, apply models across business lines, and support the production of scenario-based outputs.
• Result Analysis and Reporting: Analyze model outputs, explain key drivers, document assumptions and modelling processes, and prepare materials for internal stakeholders and external regulators.
• Process Automation: Identify automation opportunities, improve production workflows, optimize code, and develop visualization tools to support model development and results review.
• Emerging Risk Analysis: Support supplementary analysis and methodology development for emerging risk themes such as climate change, geopolitical risk, consumer indebtedness, and housing market pressures.
• Cross-Functional Collaboration: 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.

Do you have the skills that will enable you to succeed? We’d love to work with you if you have:  

• Degree in Economics, Finance, Statistics, Mathematics, Engineering, or another related quantitative discipline; knowledge of statistical or econometric modelling and accounting is preferred.
• 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.

What’s in it for you?

• An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
• We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
• Your career matters! You will have access to career development and progression opportunities.

Location(s):  Canada : Ontario : Toronto 

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.