About the role#
Join the Credit Modeling and Methodology team within Enterprise Risk and Group Risk Management. You will help develop, validate, and maintain credit risk models that support enterprise-wide decisions and regulatory compliance. The team manages credit risk frameworks, including AIRB and IFRS 9 models, while conducting performance reviews to ensure accuracy and alignment with risk appetite.
What you'll do#
- Support AIRB PD, LGD, and EAD validation remediation through data reconciliation, issue analysis, and documentation.
- Contribute to quarterly model monitoring and validation processes.
- Assist in ensuring regulatory compliance and reporting accuracy.
- Help advance modeling programs to meet business and regulatory needs.
- Work alongside a team of experienced credit risk professionals.
What you'll need#
- Current enrollment at a Canadian post-secondary institution with a focus on data science, computer science, mathematics, statistics, or machine learning.
- Programming skills in Python, SQL, or equivalent.
- Strong attention to detail and the ability to detect patterns and anomalies.
- Excellent writing skills for documentation.
- Ability to work independently or in a team setting.
- Knowledge of banking and commercial lending products is a plus.
- Experience processing or manipulating large data sets efficiently is a plus.
Location & details#
- Location: Toronto, Ontario.
- Term: Winter 2027 (January 2027 to April 2027).
- Modality: Hybrid.
- Employment type: Full-time, paid internship.
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.
