Become RBC's AML Transaction Monitoring Lead Scientist in Toronto, working to enhance surveillance models with advanced analytics and machine learning techniques. This role positions you at the forefront of analyzing data to identify suspicious activities within the Global AML program. Your work involves both the development of cutting-edge transaction monitoring solutions and the continuous refinement of existing models.

Collaborate across teams to assess risk and improve the efficiency of monitoring processes, ensuring compliance with evolving regulatory standards. Key Responsibilities:
Design and develop AML monitoring models using machine learning
Enhance existing solutions to improve detection capabilities




Document and validate model performance in adherence to standards
Work closely with stakeholders to strengthen monitoring strategies
Evaluate technological advancements for AML applicability Requirements:
Over 5 years of experience in data analytics
Degree in analytical fields like Engineering or Mathematics
Proficiency in Python, SQL, and data manipulation
Solid knowledge of AML regulations and practices
Excellent verbal and written communication skills Apply your expertise in data science to make impactful decisions in the field of AML and financial crime at RBC.

📌 Aml Transaction Monitoring Lead Scientist Toronto (Canada)
🏢 ODAIA
📍 Canada