Temporary position for 12 months.
The Debit and Banking Payments Fraud Analytics team is part of the Fraud Analytics Department. Its mission is to combat transactional fraud by using advanced analytics to detect anomalies, understand fraud patterns and quickly implement mitigation measures to protect members and clients. As a data scientist specializing in fraud detection you provide the data needed to make business decisions, develop solutions and services adapted to business needs, and gain insight into member and client behaviour. More specifically, you will be required to :
- Design models and strategies to quickly detect transactional anomalies
- Explore, analyze and synthesize information to understand the characteristics of active fraud schemes
- Develop strategies for detecting transactional fraud
- Test the theoretical performance of fraud mitigation models, rules and tools
- Deploy fraud mitigation models, rules and tools into production
- 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.
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 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!
Trade Union (If applicable)
Job Family
Data (FG)
Unposting Date
2026-10-26
