About the role#
The Retail Risk Modeling team uses large datasets to make decisions about loan originations. As an intern, you will analyze, implement, and test solutions that support real-time credit decisions for lending products like credit cards, home equity financing, and automotive loans. This role offers exposure to the full spectrum of retail banking products through advanced data analytics.
What you'll do#
- Develop and maintain AI and machine learning credit risk models for various lending business lines.
- Extract, clean, validate, and analyze data from multiple sources to identify borrower patterns and market trends.
- Build prediction systems using machine learning tools and statistical methods to optimize regression models and classifiers.
- Prepare model documentation and present your findings to non-technical stakeholders.
What you'll need#
- Current enrollment in a degree program related to computer science, finance, mathematics, statistics, or engineering.
- Practical experience coding in SQL and Python.
- Knowledge of machine learning, AI techniques, and advanced statistical methods.
- Demonstrated ability to use AI tools such as copilot.
Location & details#
- This is an 8-month full-time internship running from January 2027 to August 2027.
- The role is based in Toronto, Ontario.
- Work arrangements include hybrid, on-site, and remote options to be discussed with the hiring manager.
- Candidates must be located in Ontario for the duration of the term.
About RBC
RBC is a global financial institution based in Toronto, Ontario. It operates as Canada's largest bank and maintains a presence in the United States and 27 other countries. The company employs over 100,000 people and serves more than 17 million clients. Its business model covers banking, investing, insurance, and capital markets.
How to get in at RBC
Securing an internship at RBC requires speed and preparation. Because the bank receives a high volume of applications, timing is critical. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first. Early applicants get seen before the pile grows, which helps you avoid getting lost in the system. Beyond speed, you should focus on networking with the right people. Intern Insider surfaces the recruiters behind the company's roles so you can reach out directly to ask about the role or a referral. This direct approach materially improves response rates compared to submitting a cold application.
