AML Data Scientist Intern: Network Analytics & ML

ODAIA; Toronto; On-site; CAD 35,000 - 52,000; Full time

Benefits offered by this job

Bonuses

Flexible benefits

Stock where applicable

Job summary

RBC is seeking a GRM Data Scientist Intern to develop and maintain an AML/ATF Transaction Monitoring program, leveraging machine learning and network analysis to identify and rank elevated risk clients. The role emphasizes collaboration with the AML Analytics team and external partners to advance monitoring solutions.

This 8-month Winter 2027 Student placement requires January 2027 start with August 2027 end dates.

Qualifications

• 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.

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.

Skills

Data analysis

Python

SQL databases

GitHub

Data visualization

Detection models

Supervised learning

Unsupervised learning

Network analysis

NLP

Communication skills

Job description

RBC is seeking a GRM Data Scientist Intern to develop and maintain an AML/ATF Transaction Monitoring program, leveraging machine learning and network analysis to identify and rank elevated risk clients. The role emphasizes collaboration with the AML Analytics team and external partners to advance monitoring solutions.

This 8-month Winter 2027 Student placement requires January 2027 start with August 2027 end dates.