Embark on an analytics adventure as a Data Analytics Intern in Retail Risk at RBC. Work with advanced data to elevate credit decision-making processes and enhance risk awareness.
This full time student internship lasting 8 months starts in January 2027. You will support the development and maintenance of AI-driven credit risk models, utilizing SQL and Python while engaging with real-time lending scenarios. Candidates should possess a solid foundation in statistical analysis and machine learning to promote effective communication of insights.
Key Responsibilities:
• Develop machine learning models for risk assessment
• Extract and clean datasets from cloud sources
• Analyze borrower behavior using advanced analytics




• Present findings to non-technical team members
• Maintain documentation of analytical processes
Requirements:
• Currently pursuing a degree in relevant fields like mathematics
• Experience with SQL coding and Python programming
• Familiarity with machine learning principles and AI tools
• Comfortable with UNIX command line operations
• Exposure to big data frameworks beneficial but not mandatory
Utilize your passion for statistics and coding to influence RBC's lending strategies.
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📌 Data Analytics Intern - Retail Risk at RBC (Toronto)
🏢 0000050007 Royal Bank of Canada
📍 Toronto