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Manager, Enterprise Stress Testing (6 Month Contract) - Jobs in Toronto, ON

Scotiabank
Job LocationToronto, ON
EducationNot Mentioned
SalaryNot Disclosed
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeFull Time

Job Description

Requisition ID: 155901Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.Purpose of Job:As the Manager, Credit Risk Modelling and Analytics, Enterprise Stress Testing, you will contribute to the overall success of the IFRS 9 credit risk modelling, analytics, and reporting for Business Banking portfolios. You will ensure specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. You will also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.Job Responsibilities:You will report directly to a Senior Manager and be a critical member of a team overseeing the IFRS9 models, and related internal and regulatory processes. You will access to a modern machine learning stack that includes open-source development environments, and data visualization business intelligence tools to support – from conception through execution and governance – the IFRS9 models covering the Bank’s Business Banking portfolio. You will collaborate, on a regular basis, with a wide range of stakeholders and internal/external partners including Model Validation and Governance, Finance, Business Lines Partners, Compliance and Audit.

  • Develops and maintains credit risk models for the Business Banking portfolio that predict probability of default, loss given default, exposure as default for IFRS 9 provisioning and financial reporting.
  • Supports Bank’s the Basel III reform project to ensure the alignment of IFRS 9 models with new Basel III AIRB changes.
  • Works with stakeholders and technology teams to implement and execute models and analyses in support of on-going financial disclosure, regulatory reporting, and ad hoc analyses.
  • Documents all models and processes developed and works with the model validation team to ensure timely and satisfactory validation.
Job Requirements:
  • Predictive modelling or machine learning, statistical, and programming skills gained through a graduate degree or advanced training in a quantitative discipline are required.
  • Excellent computing development skills is required. Specifically, knowledge of both Python and R and proficiency in either language is required.
  • Excellent communication skills and the ability to communicate with stakeholders across a wide variety of functions is required. The ability to clearly summarize and display data is required.
  • The candidate must demonstrate the ability to quickly grasp and embrace new concepts and technologies.
Nice to Haves
  • Experience with Linux or UNIX systems and version control software such as Git.
  • Power user of Microsoft Office (PowerBI, Excel, Word, PowerPoint,)
  • Domain expertise with wholesale exposures and/or risk management practices
Location(s): Canada : Ontario : TorontoScotiabank 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.Quick Apply
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