AI Research Engineer Intern - Quant Finance (16-Month)

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

Job summary

RBC Capital Markets in Toronto seeks AI Engineers for its Algo Research team. This 16-month internship focuses on AI-driven trading algorithms and analytics in quantitative finance. We’re looking for strong Python, ML, data science, and communication skills.

Finance experience is not required, and you will collaborate with traders and researchers on real-world projects. Eligible candidates will gain exposure to Canada’s largest trade floor and participate in a fast-moving, collaborative

Qualifications

• Proficiency in Python and knowledge of relational databases, scripting, Unix systems, data structures and networking.
• Experience with ML methods and frameworks (PyTorch, Scikit-learn, MLflow).
• Experience working with large datasets and creating visualizations (NumPy, Pandas, Seaborn, Streamlit).
• Solid understanding of probability and statistics.
• Ability to communicate 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 a variety of high-impact projects spanning multiple asset classes and trading strategies.

Skills

Python

Databases

Scripting

Unix

Data structures

Networking

ML techniques

PyTorch

Scikit-learn

MLflow

NumPy

Pandas

Seaborn

Streamlit

Probability

Statistics

Communication

Job description

RBC Capital Markets in Toronto seeks AI Engineers for its Algo Research team. This 16-month internship focuses on AI-driven trading algorithms and analytics in quantitative finance. We’re looking for strong Python, ML, data science, and communication skills.

Finance experience is not required, and you will collaborate with traders and researchers on real-world projects. Eligible candidates will gain exposure to Canada’s largest trade floor and participate in a fast-moving, collaborative