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Unpaid Computer Science Internship Jobs in Toronto, ON

Cmcmarkets

Quantitative Trader

Toronto, ON · On-site

Mathematics, Engineering, Physics, Computer Science). * Internship or early-career experience in the front office, ideally in equities, FX, derivatives, or related areas. * Strong quantitative and ...

Waabi

Research Internship/Co-op

Toronto, ON

CA$45 - CA$60/hr

Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision ... Demonstrated research/software engineering experience: through previous internships, work ...

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Unpaid Computer Science Internship information

What is an unpaid computer science internship?

An Unpaid Computer Science Internship is a temporary position where students or recent graduates gain hands-on experience in computer science without receiving monetary compensation. Interns typically work on software development, debugging, data analysis, or IT support under the guidance of experienced professionals. These internships provide valuable industry exposure, enhance technical skills, and help build professional networks. While unpaid, they can improve job prospects and may lead to future paid opportunities.

What types of projects or tasks can I expect to work on during an unpaid computer science internship?

As an Unpaid Computer Science Intern, you will often be involved in a range of hands-on projects such as coding assignments, software testing, debugging, and collaborating on group development initiatives. Interns may also assist with documentation, participate in code reviews, and learn about industry best practices through mentorship from experienced developers. The exact nature of tasks will vary depending on the company and team, but most internships aim to balance skill-building with meaningful contributions to real-world projects. This variety gives interns a chance to apply classroom knowledge in practical settings and develop a better understanding of day-to-day roles in the tech industry.

What are the key skills and qualifications needed to thrive in an unpaid computer science internship, and why are they important?

To thrive as an Unpaid Computer Science Intern, you should have a solid understanding of programming fundamentals, data structures, algorithms, and typically be pursuing or have recently completed a degree in computer science or a related field. Familiarity with languages such as Python, Java, or C++, as well as experience using version control systems like Git, is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication are important soft skills that set candidates apart. These abilities are crucial for contributing to development projects, adapting to changing tasks, and making the most of the internship experience.

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What job categories do people searching Unpaid Computer Science Internship jobs in Toronto, ON look for?

The top searched job categories for Unpaid Computer Science Internship jobs in Toronto, ON are:

Unpaid Computer Science Internship jobs near you
Infographic showing various Unpaid Computer Science Internship job openings in Toronto, ON as of August 2026, with employment types broken down into 13% Internship, 73% Full Time, 7% Part Time, and 7% Contract. Highlights an 73% In-person, 7% Hybrid, and 20% Remote job distribution.

Quantitative Trader

Cmcmarkets

Toronto, ON • On-site

Full-time

Re-posted 15 days ago

Job description

Are you a recent graduate with internship experience in trading or finance, and strong Python skills? Join us at CMC Markets as we expand our Trading desk in Toronto! This role will require availability to work a mix of week day and weekends.

About the Role:
As a Quantitative Trader, you'll play a key role in managing market risk and supporting algorithmic trading on a fast-paced dealing desk. This is a dynamic position ideal for someone with front-office internship experience eager to develop their career in trading.

What You'll Do:

  • Operate the dealing desk on a day-to-day basis, including executing algorithmic trades and hedging market risk associated with CMC's product offering.

  • Facilitate the increased use of automation in pricing and risk management to improve efficiency in hedge execution and flow management.

  • Contribute to optimal risk management practices - from concept to implementation - ensuring they align with overall trading strategy.

  • Maintain the firm's global trading exposures within predefined company limits (MRCR, Risk and P&L).

  • Collaborate with the Financial Risk Management team to develop a strong understanding of market, credit, and liquidity risk across products.

  • Apply a data-driven approach to all strategy decisions using Python and other analytical tools to extract insights and support improvements.

  • Monitor and analyse all external trading costs, identifying significant changes and suggesting cost-saving opportunities.

  • Track the market impact of hedge executions and ensure full compliance with relevant exchange rules.

  • Review client activity and system behaviour for risks to revenue, working alongside Sales and Financial Risk teams to address any issues.

  • Regularly assess the firm's best execution obligations - reviewing reports daily and making adjustments to pricing configurations as needed.

What We're Looking For:

  • A degree in a relevant scientific or quantitative discipline (e.g. Mathematics, Engineering, Physics, Computer Science).

  • Internship or early-career experience in the front office, ideally in equities, FX, derivatives, or related areas.

  • Strong quantitative and analytical skills, with experience in data analysis and modelling.

  • Proficiency in Python, with the ability to use it for automation, data analysis, or algorithmic trading.

  • Strong understanding or interest in financial markets, trading strategies, and how external events influence product pricing.

  • Excellent communication skills and the ability to collaborate across teams.


CMC Markets is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

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