About The Position

The Credit Models and Methodology team is responsible for developing and maintaining models in compliance with various regulatory programs, including IFRS 9, CECL, CCAR, Basel AIRB, and EWST. These models are used to predict the bank’s credit losses to help the bank keep a reserve, or allowance, so that it can continue to operate with incurred credit losses. This includes support work related to models and advanced applications with a focus on credit risk.

Requirements

  • Currently enrolled at a Canadian post-secondary institution with a focus on Mathematics, Statistic, Finance or related programs
  • Solid experience with programming in Python and/or SAS.
  • Understanding of statistics/mathematics, economics, finance.
  • Excellent conceptual, analytical and problem-solving skills focusing on data, model development and process improvement.
  • Excellent written and verbal communication skills for presenting deliverable results and coordinating across teams.
  • Self-initiated & self-starter with a strong work ethic.
  • Functional teamwork, collaboration, and co-operation is required.

Nice To Haves

  • Previous experience with credit risk area

Responsibilities

  • Leverages mathematical, programming, credit risk and data science knowledge to perform quantitative data analysis and adapt existing model solutions to new applications and maintain existing models.
  • Builds robust tools to assist in model development / maintenance process.
  • Develops an understanding of stakeholder requirements and proposes, and defines, and implements solutions associated with these needs.
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