2027 Capital Markets, Global Equities, AI Engineer (16 Months, Co-op)

Royal Bank of Canada; Toronto; On-site; CAD 60,000 - 100,000; Full time

Job summary

Royal Bank of Canada (RBC) Capital Markets is seeking AI Engineers for a 16-month internship in Toronto, from May 2027 to August 2028. You will develop AI-driven trading algorithms, perform advanced analytics, and collaborate with traders and researchers on multiple asset classes.

The role emphasizes Python, ML techniques, and data science with hands-on projects and client-facing applications. Applicants should be passionate about data-driven problem solving and ready to contribute to Canada's

Qualifications

• Expertise in Python and knowledge of databases, scripting, Unix systems, data structures, and networking.
• Proficiency in ML techniques (e.g. Feature Engineering, Loss Function Design, Deep learning, Reinforcement Learning) and tools (e.g. PyTorch, Scikit-learn, MLflow).
• Experience with large datasets to extract insights and create visualizations using NumPy, Pandas, Seaborn, Streamlit.
• Strong understanding of probability concepts and statistical methods.
• Strong communication to convey quantitative concepts to non-technical stakeholders.

Responsibilities

• Employ advanced machine learning techniques to address complex trading related problems.
• Develop and optimize AI‑driven trading algorithms/strategies and incorporate them into client‑facing applications.
• Collaborate with traders, researchers, and subject matter experts to conceptualize and implement innovative products.
• Analyze large datasets to derive actionable insights and create impactful visualizations.
• Contribute to high‑impact projects spanning multiple asset classes and trading strategies.

Skills

Python

Databases

Scripting

Unix systems

Data structures

Networking

PyTorch

Scikit-learn

MLflow

NumPy

Pandas

Seaborn

Streamlit

Probability & Statistics

Communication

Tools

PyTorch

Scikit-learn

MLflow

Job description

RBC Capital Markets is seeking highly skilled and motivated individuals to join our Algo Research team as AI Engineers. Our team is at the forefront of leveraging artificial intelligence and machine learning to develop innovative trade execution algorithms and advanced analytics solutions. This role presents a unique opportunity to contribute to cutting‑edge research and development in quantitative finance, working alongside top‑tier professionals in a dynamic and collaborative environment.

We are particularly interested in candidates with strong technical expertise, a passion for data‑driven problem‑solving, and the ability to apply advanced AI techniques to real‑world problems. Experience in finance is not required.

This internship position is 16 months in duration, from May 2027 to August 2028 . Students are expected to return to school following the completion of the internship.

What We're Looking For:

• Software Engineering & Programming: Expertise in Python, and knowledge of databases, scripting, Unix systems, data structures, and networking.
• Applied Machine Learning : Proficiency in ML techniques (e.g. Feature Engineering, Loss Function Design, Deep learning, Reinforcement Learning) and tools (e.g. PyTorch, Scikit-learn, MLflow).
• Data Science: Experience working with large datasets to extract insights and create visualizations using libraries like NumPy, Pandas, Seaborn, and Streamlit
• Probability & Statistics: Strong understanding of probability concepts and statistical methods.
• Communication: Skilled in conveying quantitative concepts to non‑technical stakeholders.

Key Responsibilities:

• Employ advanced machine learning techniques to address complex trading related problems.
• Develop and optimize AI‑driven trading algorithms/strategies and incorporate them into client‑facing applications.
• Collaborate with traders, researchers, and subject matter experts to conceptualize and implement innovative products.
• Analyze large datasets to derive actionable insights and create impactful visualizations.
• Contribute to a variety of high‑impact projects spanning multiple asset classes and trading strategies.

Why Join RBC Capital Markets?

Be part of a forward‑thinking team at the forefront of AI‑driven innovation in finance. Collaborate with industry‑leading experts on Canada's largest trade floor. Gain exposure to real‑world applications of artificial intelligence and machine learning in quantitative trading. Thrive in a culture that values innovation, collaboration, and continuous professional development.

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

Additional Job Details

• Address: ROYAL BANK PLAZA, 200 BAY ST:TORONTO City:
• Toronto Country: Canada
• Work hours/week: 37.5
• Employment Type: Full time
• Platform: CAPITAL MARKETS
• Job Type: Student/Coop (Fixed Term)
• Pay Type: Salaried
• Posted Date: 2026-09-14
• Application Deadline: 2026-11-16
• Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Pay Range

The expected pay range for this position is:

$60,000.00 - $100,000.00

The pay range provided is for the primary work location referenced in the Additional Job Details section of this job posting. RBC supports pay transparency and we strive to ensure all pay ranges and competitive, fair, and equitable. Your actual pay is determined by a number of factors, including your experience, skills and education.

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.