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 strong 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 modelsCreate recent solutions using advanced data science techniquesDocument model validation-ready documentation and monitoring methodologiesProvide insights on model performance metrics to relevant stakeholdersCollaborate with teams to enhance transaction monitoring effectivenessRequirements:5+ years in data analytics, preferably in financial settingsAdvanced degree in Computer Science, Mathematics, or related fieldExpertise in Python, Scala/Spark, and SQL databasesStrong understanding of AML and Financial Crime fundamentalsExceptional communication skills to convey data insightsUtilize your expertise in data analytics and machine learning to drive innovation at RBC while enhancing AML monitoring effectiveness.#J-18808-Ljbffr

📌 Lead Data Scientist - Aml Monitoring (Toronto)
🏢 ODAIA
📍 Toronto