Leverage your machine learning expertise as a Senior Fraud Data Scientist with RBC in Toronto. Focus on fraud detection, model development, and optimizing analytical processes for impactful solutions. In this senior position, you will apply 2+ years of experience in machine learning and data mining specifically targeted toward fraud analytics.

Collaborate with stakeholders to enhance fraud detection capabilities while utilizing Python, SQL, and ML frameworks. Your contributions will help design cutting-edge automated solutions that replace labor-intensive processes, providing strategic insights to drive change. Key Responsibilities:
Develop machine learning models for real-time fraud detection
Contribute to the ML strategy for Credit & Fraud Management




Partner with analytics teams to optimize fraud detection workflows
Design automated data pipelines to enhance efficiency
Conduct deep data exploration for quality assurance Requirements:
2+ years' experience in machine learning or risk analytics
Proficient in Python, SQL, and ML frameworks
Background in big data platforms and version control
Solid communication skills for diverse audiences
Degree in a quantitative discipline Elevate your career at RBC by applying your analytical skills to support fraud management initiatives.

📌 Senior Fraud Data Scientist At Rbc Toronto (Canada)
🏢 RBC
📍 Canada