Data Analytics Intern - Retail Risk at RBC

Embark on an analytics adventure as a Data Analytics Intern in Retail Risk k 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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