Hybrid Data Scientist, Credit Risk

Posted 2 weeks ago

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About the role

  • Design, use and develop decision-making strategies for credit management and diligently prepare associated documentation.
  • Build innovative algorithms to evolve our risk strategies.
  • Support the transformation of credit risk strategies and maximize their financial impact.
  • Balance business needs, risk management, requirements and best practices.
  • Lead or contribute to projects, mandates or activities in your field of expertise.
  • Serve as a specialist in your field of expertise for units in the organization and practitioners.
  • Explain information in plain language and based on the target audience in order to facilitate comprehension and, if applicable, decision making.
  • Monitor the industry to understand and anticipate trends in your field of expertise to develop and update relevant best practices for the organization.

Requirements

  • Bachelor’s degree in math, statistics, economics, finance or a related field
  • A minimum of four years of relevant experience
  • Machine learning experience: Knowledge of machine learning algorithms and their application in credit risk management
  • Experience in credit risk management and quantification
  • Knowledge of French is required
  • Intermediate knowledge of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
  • Proficiency with SAS, SQL and Python programming tools

Benefits

  • Competitive salary and annual bonus
  • 4 weeks of flexible vacation starting in the first year
  • Defined benefit pension plan that provides predictable, stable income throughout retirement
  • Group insurance including telemedicine
  • Reimbursement of health and wellness expenses and telework equipment

Job title

Data Scientist, Credit Risk

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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