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RBC
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August 19, 2026
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Toronto, ON
Internship
Onsite
Intern
RBC is a major financial institution offering a student placement within its Group Risk Management function. The GRM Data Scientist Intern will develop and maintain AML/ATF transaction monitoring solutions using data science, machine learning, network analysis, and AI-assisted tools. The role also involves model documentation, performance recommendations, visualization, and collaboration with analytics teams and business partners.
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Responsibilities

  • 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
  • Use and remain updated in AI-assisted workflows and tools and their applications in developing solutions
  • 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

Qualification

Required

  • 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
  • Be returning back to school after the work term end-date of August 2027
  • If you are not returning back to school (i.e. are graduating in August 2027), you must require the full 8-months work term as a mandatory component to in order to graduate successfully
  • The successful candidate for this role will be required to be located within Ontario for the duration of the work term

Preferred

Benefits

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in an agile, collaborative, progressive, and high-performing team
  • The opportunity to interface with senior level executives from many different parts of the organization
  • Flexible work arrangements when and where available, with specific virtual, hybrid, and in-office arrangements to be discussed with the Hiring Manager
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
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3.9
Founded in 1864
Toronto, Ontario, CAN
10001+ employees
https://www.rbc.com