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.
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.