Data Scientist developing models, dashboards, and analytics to detect transactional fraud at Desjardins, North America’s largest cooperative financial group. Deploying and monitoring mitigation tools.
Responsibilities
Design models and strategies to quickly detect transactional anomalies
Explore, analyze and synthesize information to understand 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 model and strategy performance
Research and develop predictive variables to improve fraud detection
Develop, update and produce dashboards, data visualizations and reports
Optimize and automate key fraud detection analytics processes
Provide ad hoc advice on projects to improve fraud risk management tools
Advise risk management teams and business sectors in the field
Monitor industry trends and develop and update organizational best practices
Support the Debit and Banking Payments Fraud Analytics team's mission to combat transactional fraud and protect members and clients
Requirements
Bachelor's degree in a related field
A minimum of four years of relevant experience
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 Actions
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
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