Join RBC as a Senior Data Scientist in Toronto, specializing in AML Transaction Monitoring. Your mission will be to innovate monitoring models that ensure compliance and enhance risk identification.
This challenging role necessitates a strong background in data analytics, extensive experience in machine learning, and a solid understanding of financial crime fundamentals. Collaborate effectively with stakeholders to improve monitoring solutions while ensuring adherence to regulatory expectations and industry trends.
Key Responsibilities:
• Tune existing machine learning models for AML
• Develop new advanced monitoring solutions
• Create model performance metrics
• Collaborate with teams for effective risk remediation




• Identify industry best practices for AML analytics
Requirements:
• Over 5 years in data analytics roles
• Relevant degree in fields like Computer Science or Statistics
• Expertise with Python, Scala/Spark, and SQL databases
• Familiarity with NLP and supervised learning techniques
• Solid skills in exploratory data analysis and feature development
Shape the future of AML analytics at RBC by leveraging your expertise in a prominent financial institution in Toronto.
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📌 Senior Data Scientist for AML Monitoring (Toronto)
🏢 RBC
📍 Toronto