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Data Scientist, Fraud Detection Specialist

  • The work arrangement for the position is hybrid work
  • Montréal
  • Full time
  • Temporary position
  • R2605197
  • Job Offer

    Temporary position for 12 months.

    As a Data Scientist, Fraud Detection Specialist, you provide the data needed to make business decisions, develop solutions and services adapted to business issues and understand member and client behaviour. You lead practitioners on projects to develop models tailored to business needs in the field of fraud detection. You lead complex, strategic initiatives in advanced analytics and artificial intelligence, and serve as a data use specialist advisor and subject matter expert. Your initiatives require extensive and in-depth knowledge of fraud detection. More specifically, you will be required to:

    • Develop and roll out fraud detection and prevention strategies
    • Continuously monitor fraud patterns and how well models and strategies are performing
    • Research and develop predictive variables to prevent and detect fraud
    • Provide advice on projects to improve fraud risk management tools
    • Serve as an advisor to the risk management teams and business sectors in your field
    • Monitor the industry to understand and anticipate trends in your field in order to develop and update best practices that are relevant to the organization
    • Develop, update and produce various reports
    • Report on the performance of predictive models and strategies to the various committees, managers and contributors,

    What we offer*

    • 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

    * Benefits apply based on eligibility criteria.

    #LI-Hybrid

    What you bring to the table

    • Bachelor's degree in a related field
    • A minimum of four years of relevant experience
    • Please note that other combinations of qualifications and relevant experience may be considered
    • Experience developing and implementing advanced analytics or predictive solutions
    • Experience in analytics with transactional data
    • Experience working with cloud platforms such as CP4D or Microsoft Azure 
    • Experience in Apache Spark (via PySpark or Scala, knowledge of Databricks)
    • Knowledge of French is required
    • Advanced proficiency in resolving complex, multi‑constraint problems
    • Proficiency in Python or R programming
    • Proficiency in data science methodologies and their limitations (scikit-learn, pandas, Matplotlib, NumPy, SciPy, etc.)
    Complexity, Innovation, Interpersonal Savvy

    Trade Union (If applicable)

    At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

    If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

    Job Family

    Data (FG)

    Unposting Date

    2026-05-5

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    Who we are?

    Desjardins Group is the largest cooperative financial group in North America.We're the choice for over 52,000 employees and we’re named one of Canada’s top employers by Mediacorp and Forbes. We offer a full range of financial products and services and share our expertise in personal services, business services, wealth management, life and health insurance, and property and casualty insurance.

    Pursuing a career at Desjardins means being part of an organization that puts people first.

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