Requisition ID: Join a purpose driven winning team, committed to results, in an inclusive and high:performing culture. The successful candidate will help on Stress Test related projects and work on developing models for the Bank's balance sheet and income statement across all major products and business lines. The role requires project management skills, good communication, understanding and quantitative modeling techniques, as well as strong interest and passion to learn financial concepts from business lines. Is this role right for you? In this role, you will: stylemargin:bottom:13.0px: : Play a key role in developing regression models to project revenue as a function of macro:economic time series variables using technology platforms, primarily in Python. The models will assess the impact of macroeconomic scenarios and contagion events, using internal expertise and historic information. The scope is all revenue:generating products, including retail, business banking and wealth management. Primary (but not exclusive) drivers which need to be projected are business volumes and margins. : Develop a systematic approach for challenging the expert judgments that are used in the models. Work closely with all business lines. For those business lines with their own quantitative models, engage in a comparative analysis of their relative merits. : 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 stress test results and techniques and any limitations or assumptions embedded in the models : Execute and enhance the production runs for stress testing exercises : Identify potential automation opportunities and develop automation tools for stress testing exercise : Develop and maintain the technology platform for data visualization and enhanced review process Do you have the skills that will enable you to succeed in this role? : Wed love to work with you if you have: stylemargin:bottom:13.0px: : Degree in Economics, Finance, Statistics, Mathematics, Engineering or other related quantitative discipline. Knowledge of statistical/econometric modeling and accounting is preferred. : Hands:on experience in statistical model development/validation or data analytics; programming in Python (knowledge of popular libraries for data science and visualization such as Numpy, Pandas, Matplotlib), business intelligence dashboards (Power BI), version control tools (BitBucket). Experience in R is beneficial. : The types of results produced by the models will cover a broad range of measures used in the Bank, such as capital, PCL and liquidity. Therefore the position requires a high degree of adaptability and the ability to learn new concepts quickly, as well as passion to learn financial concepts : The 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 : The candidate must exhibit maturity, balanced judgment, leadership and team skills What's in it for you? typedisc: : An inclusive and 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