RB
Programme
Internship
Location
Toronto
Duration
8 months (January 2027 to August 2027)
Deadline
2026-09-21
About the role
Join RBC's Retail Risk Modeling team as an 8-month Winter 2027 intern to support AI and machine learning credit risk models for various lending products. Develop skills in data analytics, model building, and stakeholder communication in a real-world banking environment.
Role and Responsibilities
- Support development and maintenance of AI and machine learning credit risk models.
- Analyze and validate data from multiple sources to identify borrower behavior and market trends.
- Use machine learning and advanced statistics to build and optimize prediction models.
- Present findings clearly to non-technical stakeholders and document models comprehensively.
Requirements
- Currently enrolled in computer science, finance, mathematics, statistics, or engineering degree.
- Proficient in SQL and Python coding.
- Understanding of advanced statistical methods, machine learning, and AI techniques.
- Experience with AI tools such as Copilot.
Preferred Skills
- Experience with large datasets and big data/cloud technologies like Hadoop, PySpark, S3.
- Familiarity with code sharing and version control tools such as GitHub.
- Ability to work with UNIX command line.
Program Details
- 8-month student placement from January to August 2027.
- Must be returning to school after August 2027 or require full 8-month work term to graduate.
- Located in Ontario for the duration of the work term.
- Full-time, salaried position with 37.5 work hours per week.
Application Information
- Applications accepted on a rolling basis until 2026-09-21 11:59 PM.
- Candidates will be contacted directly if selected for next steps.
- Check application status via RBC profile.