About the role#
RBC Capital Markets is looking for AI Engineers to join the Algo Research team for a 16-month internship. You will work on the trade floor to develop trade execution algorithms and analytics solutions. This role focuses on applying machine learning to quantitative finance. You do not need prior experience in finance to apply.
What you'll do#
- Use machine learning to solve complex trading problems.
- Build and improve AI-driven trading strategies and add them to client-facing applications.
- Work with traders, researchers, and subject matter experts to design new products.
- Analyze large datasets to find insights and build visualizations.
- Contribute to projects across various asset classes and trading strategies.
What you'll need#
- Expertise in Python and knowledge of Unix systems, databases, scripting, data structures, and networking.
- Proficiency in machine learning techniques like feature engineering, loss function design, deep learning, and reinforcement learning.
- Experience with tools such as PyTorch, Scikit-learn, and MLflow.
- Ability to work with large datasets using NumPy, Pandas, Seaborn, and Streamlit.
- A strong understanding of probability and statistical methods.
- Skill in explaining quantitative concepts to non-technical stakeholders.
- Enrollment in a program such as Computer Science, Mathematics, Statistics, Computer Engineering, or Data Science.
Location & details#
- Location: Toronto, Ontario, Canada.
- Duration: 16 months, from May 2027 to August 2028.
- Work Modality: On-site.
- 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.
