Required Design models and strategies to quickly detect transactional anomalies
Explore, analyze and synthesize information to understand the characteristics of active fraud schemes
Test the theoretical performance of fraud mitigation models, rules and tools
Deploy fraud mitigation models, rules and tools into production
Develop strategies for detecting transactional fraud
Continuously monitor fraud patterns and how well models and strategies are performing
Research and develop predictive variables to improve fraud detection
Develop, update and produce dashboards, data visualizations and various reports
Optimize and automate key fraud detection analytics processes
Provide ad hoc advice on projects to improve fraud risk management tools
Serve as an ad hoc 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 for the organization.
Temporary position for 12 months.
What we offer Market-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.
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 in analytics with transactional data
Experience working with cloud platforms such as IBM Cloud Pak® for Data or Microsoft Azure
Experience with Apache Spark (via PySpark), Shiny, RStudio and Databricks
Knowledge of French is required
Proficiency in Python or R programming
Proficiency in data science libraries and their limitations, including scikit-learn, pandas, Matplotlib, NumPy and SciPy
Proficiency in SQL programming
Knowledge of GitHub
Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning
Equity, Diversity, Inclusion and Accessibility 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!
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📌 Data Scientist, Fraud Detection (Quebec City)
🏢 Desjardins
📍 Quebec City