Job Description

Requisition ID: 158205

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Purpose of Job:
Enterprise Stress Testing’s (“EST”) mandate is to design and run the Bank’s stress testing program. We need a strong individual to help with credit stress testing the Bank’s portfolio. You will collaborate in building coherent, self-contained stress tests across geographies and products. This role has the potential for direct impact on strategic business decisions with stress testing as a decision-making tool by senior management in Global Risk Management as well as Finance executives and the Board.
Job Responsibilities:

• 
  Develop and implement the credit risk stress testing models using technology platforms, primarily in R and Python
• Implement models for projecting point-in-time values for Probability of Default and Loss Given Default as a function of macro-economic variables
• Conduct supplementary analysis on model results to provide insights into key drivers of credit losses in each stress scenario
• Work with technology teams on data sourcing, technology frameworks to optimize computing efficiency
• Assist senior management by supporting ad hoc stress testing analyses
• Develop and implement regression models using highly developed technical skills for projecting point-in-time values of probability of default and loss given default for commercial and retail banking products as a function of macro-economic time series variables:
  • Collect and analyse historical data, choose appropriate model design/methodology, derive model parameters
  • Develop software code implementing the selected methodology to be run in the operational/production environment and generate risk parameter projections needed for calculating loan impairment charge
  • Effectively communicate and document model approaches, assumptions, model inputs used and modelling processes.

Job Requirements:

• 
  Advanced degree in Economics, Finance, Statistics, Mathematics, Engineering or other related quantitative discipline. Some knowledge of accounting preferred.
• Experience in credit risk modeling related to probability of default and loss given default
• Strong communication skills
• Experience in banking with a focus on credit risk and credit products. Specific stress testing experience is desirable with working knowledge of IFRS9 accounting standards and Basel III framework.
• Knowledge of stress testing, and general knowledge of a bank’s financial metrics with a good understanding of credit products and provisions for credit losses (PCL)
• Advanced quantitative modeling skills (e.g., advanced statistical models, econometric models)
• Strong computer skills in organizing and manipulating large amounts of data
• Experience with R or Python is a requirement. Experience with sparklyr or pyspark is an asset
• Working knowledge of basic Linux or UNIX systems is desired. Experience with version control software (Git, SVN etc.) is an asset

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. 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.