2026 Fall - GRM, Data Scientist Intern (4 Months)

Job Description

Job Description What is the opportunity? The GRM Data Scientist Intern is mandated to develop and maintain an efficient and effective AML/ATF Transaction Monitoring program that considers regulatory expectations, industry trends and innovation opportunities. Utilizing sophisticated tools and techniques the Data Scientist of Global AML Transaction Monitoring will develop and tune new and existing solutions used to identify suspicious activity, analyze data to identify RBC clients who present an elevated level of risk (financial & reputational) and continuously look for opportunities to provide more relevant and valuable intelligence to the Global AML program. What will you do? Enhance AML Analytics solutions with advanced network analysis features Develop new AML Transaction Monitoring solutions with machine learning and data science techniques Explore Network Analysis techniques and methodologies and apply them to AML monitoring Present newly developed models with clear visualizations to the Director, AML Analytics Identify opportunities in applying new technologies to AML analytics Develop required documentation and monitoring methodology for models Provide recommendations to the Director, AML Analytics on any findings of model performance Collaborate with the Director, AML Analytics to prioritize development of monitoring solutions Collaborate with other Monitoring & Analytics teams to identify and remediate RBC risk exposure, and implement / tune transaction monitoring solutions as necessary to address risk Collaborate with business partners, industry peers and external vendors to improve effectiveness and efficiency of transaction monitoring program Identifying industry best practices and new technologies for strategic consideration by the AML Monitoring and AML Governance Committee What do you need to succeed? Must have Strong data, analytical, quantitative method and problem-solving skills Expertise in analyzing and manipulating large datasets with Python Proficiency and familiarity with different SQL databases and GitHub Experience in using data visualizations to elaborate model performance with Python Understands project’s needs and ability to translate these into detection models Experience with supervised and unsupervised learning, network analysis, and NLP Proven excellent written and oral communication skills to convey complex concepts to a non-technical audience Nice to have Graduate degree (MBA or relevant subject matter area) Certified Anti-Money Laundering Specialist (CAMS) designation or other related certification What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive c

Required Skills