RBC seeks a Senior AML Data Scientist to refine transaction monitoring models in Toronto. Utilize data-driven insights to combat financial crime and optimize analytics.

As a Senior Data Scientist, your mission will be to develop, tune, and oversee AML Transaction Monitoring models while adhering to regulatory guidelines. Your analytical skills will assess client risk levels, facilitating the identification of suspicious activity. Collaborate with various teams to foster innovative approaches in applying the latest technologies to improve AML analytics.

Key Responsibilities:
• Tuning existing rule-based solutions for AML Transaction Monitoring
• Collaborate on new machine learning solutions for data analysis
• Produce thorough model documentation following risk management standards




• Analyze model performance and provide recommendations
• Identify new technology opportunities for AML processes

Requirements:
• Minimum 5 years in extensive data analysis
• Master’s or comparable degree in a quantitative field
• Advanced skills in Python, SQL, and Scala/Spark
• Understanding of Financial Crime and AML
• Proven ability to communicate findings effectively

Leverage your robust analytical background to lead advancements in RBC's AML program, influencing financial crime detection.
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📌 Senior AML Data Scientist in Toronto (Ontario)
🏢 ODAIA
📍 Ontario