Data Scientist, Fraud Detection

Location: Montréal

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