AML Analytics Data Scientist - Royal Bank of Canada, Toronto

**Overview**

Royal Bank of Canada seeks a Data Scientist to strengthen our Global AML Transaction Monitoring program. This role focuses on building sophisticated analytical solutions to detect suspicious activities, assess client risk levels, and deliver actionable intelligence that protects RBC's financial and reputational standing. You'll leverage cutting-edge data science methodologies while ensuring compliance with regulatory standards and industry best practices.

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Responsibilities **

• Build advanced network analysis capabilities into existing AML Analytics platforms • Create innovative AML Transaction Monitoring systems using machine learning and data science approaches • Research and implement Network Analysis methodologies for enhanced AML surveillance • Create compelling visual presentations of newly developed models for leadership review • Scout emerging technologies and assess their potential for AML analytics applications • Document model specifications and establish monitoring protocols • Deliver performance analysis recommendations to the Director, AML Analytics • Partner with cross-functional Monitoring & Analytics teams to mitigate RBC risk exposure • Work with business stakeholders, industry colleagues, and external vendors to optimize transaction monitoring effectiveness • Research industry innovations and best practices for AML Monitoring and Governance Committee consideration

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Requirements **

**Essential:** Advanced analytical and quantitative problem-solving capabilities; expertise manipulating large datasets with Python; proficiency across multiple SQL databases and GitHub; experience creating data visualizations for model performance reporting; ability to transform business requirements into effective detection models; background in supervised/unsupervised learning, network analysis, and NLP; exceptional communication skills for presenting complex concepts to non-technical audiences.

**Preferred:** Graduate degree (MBA or relevant field); CAMS certification or similar credentials.

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Benefits :** Comprehensive Total Rewards Program with bonuses and flexible benefits.

Monday to Friday, 9 AM – 5 PM (full-time)