Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.
About the role
- Senior Data Scientist optimizing fraud detection and prevention models for credit applications at Desjardins. Leading complex projects and providing expert advisory support within a hybrid work environment.
Responsibilities
- Develop, enhance and deploy to production advanced application fraud detection and prevention models for credit and financing products.
- Actively contribute to tactical detection activities, including creating, calibrating and optimizing fraud detection rules.
- Analyze and understand complex, emerging and evolving fraud patterns and quickly recommend adjustments or corrective measures suited to the business context.
- Research, design and optimize advanced predictive features related to fraudulent behaviour.
- Recommend and implement strategic and tactical improvements to optimize the effectiveness, robustness and sustainability of detection mechanisms.
- Provide expert advisory support on initiatives to improve fraud risk management tools, controls and practices.
- Serve as a point of reference and influential partner for business sectors and credit risk management, fraud and analytics teams.
- Proactively monitor fraud trends, emerging analytical approaches and market best practices.
Requirements
- Bachelor's degree in machine learning, computer science, statistics, mathematics or a related field
- At least six years of relevant experience in quantitative analysis, modelling or data science
- Extensive experience developing and deploying advanced predictive models
- Experience managing and resolving complex issues with multiple constraints
- Experience working with cloud platforms such as CP4D or Microsoft Azure
- Knowledge of French is required
- Strong ability to simplify complex concepts and communicate clearly with different audiences, both verbally and in writing
- Strong proficiency in developing with Apache Spark (PySpark or Scala) and knowledge of Databricks
- Strong proficiency in deep learning techniques and development frameworks (Keras, TensorFlow, PyTorch, etc.)
- Knowledge of SQL and R, as well as reporting and data visualization techniques
- Expertise in Python programming (scikit-learn, PySpark, pandas, NumPy, SciPy, LangChain, etc.) and in analytics product development practices (Git, MLflow, MLOps concepts)
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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