Director leading the Data Science team at RBC focused on AI and analytics innovations. Overseeing model development and ensuring data governance across distribution networks in Canada.
About the role
- Data Scientist specializing in fraud detection for Desjardins. Provide data for business decisions and lead complex initiatives in advanced analytics and artificial intelligence.
Responsibilities
- Provide the data needed to make business decisions
- Develop solutions and services adapted to business issues
- Understand member and client behaviour
- Lead practitioners on projects to develop models tailored to business needs in the field of fraud detection
- Lead complex, strategic initiatives in advanced analytics and artificial intelligence
- Serve as a data use specialist advisor and subject matter expert
- 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
- Develop, update and produce various reports
- Report on the performance of predictive models and strategies to the various committees, managers and contributors
Requirements
- Bachelor's degree in a related field
- A minimum of four years of relevant experience
- 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.)
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
- Group insurance including telemedicine
- Reimbursement of health and wellness expenses and telework equipment
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