RB
Programme
Internship
Location
Toronto
Duration
4 months (January 2027 to April 2027)
Deadline
2026-09-21
About the role
This 4-month Winter 2027 internship in Toronto focuses on developing Python analytical tools and applying AI to support stress testing and risk management processes at a global bank.
Responsibilities
- Develop Python tools and automation for stress testing and benchmarking.
- Apply generative AI and LLM tools to risk problems and report production.
- Analyze stress testing outputs and prepare summaries for stakeholders.
- Build interactive dashboards and visualizations using Python and HTML.
- Contribute to prototyping AI-enabled risk monitoring and stress testing platforms.
- Participate in design sessions, document requirements, and share learnings.
Requirements - Must Have
- Enrolled in a quantitative post-secondary program (Data Science, Math, CS, etc.).
- Working knowledge of Python for data manipulation and analysis.
- Experience with SQL and querying relational databases.
- Strong quantitative, analytical, and problem-solving skills.
- Hands-on experience with generative AI or LLM tools and prompt engineering.
- Proficient in MS Office, especially Excel, PowerPoint, and Word.
Requirements - Nice to Have
- Exposure to credit risk, macroeconomics, or econometrics coursework.
- Familiarity with stress testing or regulatory capital concepts.
- Interest in AI agents and retrieval-augmented generation applications.
- Experience with data visualization tools like Tableau or web dashboards.
- Exposure to SAS, R, or large-scale enterprise data environments.
- Familiarity with version control (Git) and collaborative development.
Program Details
- 4-month Winter 2027 internship from January to April.
- Full-time, 37.5 hours per week, salaried position.
- Located in Toronto, Ontario, Canada.
- Application deadline: 2026-09-21.
- Eligibility requires returning to school after internship or mandatory work term for graduation.
- Flexible work arrangements discussed with hiring manager.
Benefits
- Exposure to global bank stress testing and regulatory programs.
- Mentorship from quantitative and technical experts.
- Dynamic, collaborative, high-performing team environment.