Financial Crime Analytics Intern: Insights & Analytics

RBC; Toronto; On-site; CAD 121,000 - 167,000; Full time

Job summary

RBC is seeking a Financial Crime Analytics Student for Winter 2027 across Global Financial Crime & Compliance. The role offers exposure to AML/Sanctions screening models, data analysis and model documentation within an agile environment in Toronto, Ontario.

Ideal candidates are enrolled in a data science/CS/math/statistics program and possess strong analytical, programming and data visualization skills. The placement is a 4-month term with a focus on learning and professional development.

Qualifications

• Enrolled in a Canadian post-secondary program focused on data science, CS, mathematics or statistics.
• Strong analytical and detail-oriented mindset with good communication.
• Programming skills in Python, R or SQL.
• Proficiency with MS Office, especially advanced Excel functions.
• Ability to extract, transform and analyze large data sets and identify patterns.

Responsibilities

• Support design, development and optimization of AML/Sanctions screening models.
• Analyze screening model performance data and assist in tuning.
• Prepare documentation and white papers for stakeholders.
• Support data quality assessments and escalation tracking for screening effectiveness.
• Analyze complex datasets to derive insights for financial crime detection.
• Collaborate with cross-functional teams to enhance screening programs.
• Research industry best practices in financial crime prevention.
• Contribute to end-to-end delivery in an agile team environment.

Skills

Python

R

SQL

Advanced Excel

Data analysis

MS Office

Data extraction

Data visualization concepts

Education

Post-secondary student in data science/CS/math/stats

Tools

Tableau

Splunk

Relational databases

Job description

RBC is seeking a Financial Crime Analytics Student for Winter 2027 across Global Financial Crime & Compliance. The role offers exposure to AML/Sanctions screening models, data analysis and model documentation within an agile environment in Toronto, Ontario.

Ideal candidates are enrolled in a data science/CS/math/statistics program and possess strong analytical, programming and data visualization skills. The placement is a 4-month term with a focus on learning and professional development.