Take the helm in AML Transaction Monitoring as a Lead Data Scientist at RBC in Toronto, Canada. Innovate in data science to develop and maintain impactful transaction monitoring models. This role requires a seasoned qualified with over five years of experience in data analytics and a related degree.

You will create machine learning solutions while collaborating with the Director of Transaction Monitoring and various teams to enhance the AML program's effectiveness. Your expertise in programming with Python, Scala, and SQL will be pivotal in identifying and mitigating risk. Key Responsibilities:

- Develop and maintain AML transaction monitoring models
- Create new solutions using advanced data science techniques
- Document model performance and develop monitoring methodologies
- Collaborate to innovate AML analytics technologies
- Analyze data to identify RBC clients at risk Requirements:
- 5+ years in data analytics
- Strong skills in Python and Scala/Spark
- Expertise in SQL and Hive databases
- Understanding of AML and Financial Crime fundamentals
- Exceptional communication abilities for diverse audiences Lead innovations in AML analytics at RBC to drive impactful data-driven decisions.

📌 Lead Data Scientist at RBC (Vancouver)
🏢 RBCx
📍 Vancouver