Data Scientist, Model Validation

Posted 4 days ago

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About the role

  • Data Scientist responsible for validating complex quantitative models at Desjardins Group. Analyzing business needs and ensuring quality standards in predictive modeling processes for decision-making.

Responsibilities

  • Ensure that modelling processes make appropriate use of available data based on characterization, quality and processing as part of strategic initiatives
  • Ensure that predictive modelling is carried out according to the required standards and that Desjardins Group’s quality criteria are met through the validation process
  • Analyze the business needs behind the model and confirm the model’s suitability through validation
  • Ensure that the programming required to prepare and mine data, and to develop, evaluate, support, roll out and manage highly conceptually complex and innovative models meets the required standards
  • Use advanced and innovative statistical, machine learning and artificial intelligence methods to test the methodologies proposed by the first line of defence
  • Help draft guidelines and methods and shape methodological and technological choices
  • Advise and train teams on quantitative model validation methods and update them to improve delivery speed
  • Identify opportunities to optimize rules and systems, anticipate underlying impacts of changes and help develop data management and modelling support tools
  • Represent teams with various internal interested parties
  • Monitor the industry to understand and anticipate trends in your field of expertise in model validation, with a view to developing and updating practices that are contextually appropriate for the organization

Requirements

  • Bachelor’s degree in a related field (actuarial science, statistics, applied mathematics, engineering, data science, computer science)
  • A minimum of six years of relevant experience, including a minimum of three years in analytics or modelling
  • Knowledge of French is required
  • Intermediate knowledge of English due to the nature of the duties or work tools
  • Knowledge of mathematical modelling and statistics
  • Proficiency in programming languages: Python, R, SQL, SAS
  • Proficiency with risk management models in at least one of the following areas: Pricing and underwriting in P&C insurance, Reserving and valuation of liabilities, Loss management and fraud prevention, Client behaviour and distribution, Catastrophe risk and capital
  • Knowledge of property and casualty insurance
  • Knowledge of regulatory frameworks applicable in Canada

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 type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

PythonSQL

Location requirements

HybridMontrealCanada

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