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

RBC; Toronto; On-site; CAD 60,000 - 100,000; Full time

Job summary

RBC Capital Markets invites applications for an AI Engineer internship in the Algo Research team. You will work on AI-driven trading algorithms, analytics, and client-facing tools across multiple asset classes.

Strong Python skills and ML tooling experience are essential. The 16-month internship runs May 2027 through August 2028, based in Toronto, Canada, with a salary range of $60,000–$100,000 CAD per year and a fixed-term, student/co-op contract.

Qualifications

• Strong Python development experience and data-driven problem solving.
• Familiarity with ML concepts including feature engineering and model evaluation.
• Ability to communicate quantitative concepts to non-technical stakeholders.

Responsibilities

• Apply advanced ML techniques to trading related problems.
• Develop AI-driven trading algorithms and integrate them into client applications.
• Collaborate with traders and researchers to design innovative products.
• Analyze large datasets to derive insights and create visualizations.
• Contribute to multiple high-impact projects across asset classes.

Skills

Python

ML Concepts

Data Visualization

Communication

Tools

PyTorch

Scikit-learn

MLflow

NumPy

Pandas

Seaborn

Streamlit

Job description

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

What We’re Looking For:

We are seeking candidates who demonstrate the following qualifications and attributes:

• 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 thank all interested candidates; however, only those selected for an interview will be contacted.

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.