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 robust 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 recent 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
Robust 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.

📌 Lead Data Scientist Aml Monitoring Toronto
🏢 ODAIA
📍 Toronto