Join RBC as a Lead Data Scientist in Toronto, focusing on AML Transaction Monitoring. Leverage machine learning and analytics to innovate and develop effective monitoring models.
In this pivotal role, you will craft and enhance AML Transaction Monitoring solutions that meet regulatory standards and industry advancements. With a solid emphasis on risk assessment, you’ll analyze data to pinpoint RBC clients with heightened risk levels. Engage in cutting-edge data science techniques to boost the efficiency and effectiveness of the Global AML program.
Key Responsibilities:
• Develop and maintain AML Transaction Monitoring machine learning models
• Create current solutions using advanced data science techniques
• Document model validation-ready documentation and monitoring methodologies




• Provide insights on model performance metrics to relevant stakeholders
• Collaborate with teams to enhance transaction monitoring effectiveness
Requirements:
• 5+ years in data analytics, preferably in financial settings
• Advanced degree in Computer Science, Mathematics, or related field
• Expertise in Python, Scala/Spark, and SQL databases
• Solid understanding of AML and Financial Crime fundamentals
• Exceptional communication skills to convey data insights
Utilize your expertise in data analytics and machine learning to drive innovation at RBC while enhancing AML monitoring effectiveness.
J-18808-Ljbffr

📌 Lead Data Scientist Aml Monitoring Toronto
🏢 ODAIA
📍 Toronto