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Toronto, ON

Internship

Onsite

Intern

RBC is a financial services organization seeking a GRM Data Scientist Intern to support its Global AML program. The role focuses on developing and maintaining AML/ATF transaction monitoring solutions using data science, machine learning, network analysis, and advanced analytics to identify suspicious activity and elevated risk. The intern will develop and evaluate models, present findings, document methodologies, and collaborate with internal and external stakeholders to improve monitoring effectiveness.

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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
RBC is committed to supporting flexible work arrangements when and where available. Details regarding the specific virtual, hybrid, and in-office arrangements for this Integrated Learning/ Co-op position are 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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