Manager, Enterprise Stress Testing

1 week ago

Toronto, Canada Scotiabank Full time

Requisition ID: 211231

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

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

- Develop and maintain the Pre-provision net revenue (PPNR) models for the wholesale and retail portfolios using technology platforms, primarily in Python and R. These models will assess the impact of macroeconomic scenarios and contagion events, using internal expertise and historic information. The scope is over all revenue-generating products, including retail, non-retail and wealth. Primary (but not exclusive) drivers which need to be projected are business volumes and margins.
- Develop and implement sophisticated statistic models using highly developed technical skills for projecting revenue as a function of macro-economic time series variables.
- Leverage AI/ML techniques and big data analytics to analyze historical data and drive business insights.
- Develop software code implementing the selected methodology to be run in the operational/production environment and generate risk parameter projections.
- Effectively communicate and document model approaches, assumptions, model inputs used and modelling processes; work with the Model Validation team to assure timely and satisfactory validation.
- Support other stress testing staffs by providing and explaining the model results, collaborating with all business lines to discuss model output overlays.
- Respond to inquiries from regulators, Audit and executive management about modelling results and techniques and any limitations or assumptions embedded in the models.
- Execute and enhance the production runs for stress testing exercises.
- Develop and maintain the technology platform for data visualization and enhanced review process.

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

- Advanced degree in Economics, Finance, Statistics, Mathematics, Engineering or other related quantitative discipline. Some knowledge of accounting preferred. Excellent statistical skills, some experience within risk management, preferably in a model development role
- Proficiency in Python, R or related programming languages and platforms
- Advanced quantitative modeling skills (e.g., advanced statistical models, econometric models)
- Knowledge and experience with ML/LLM/cloud computing is an asset
- Designations such as FRM, PRM or CFA are desirable
- Strong communication skills. The position requires an ability to efficiently interact and communicate with many stakeholders across of a variety of areas
- Maturity, balanced judgment, leadership and team skills
- Working knowledge of basic Linux or UNIX systems is desired. Experience with version control software (Git, SVN etc.) is an assetThe incumbent should have strong communication skills. The position requires an ability to efficiently interact and communicate with many stakeholders across of a variety of areas

**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.

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