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Volunteer Computer Science Internship Jobs in Toronto, ON

Cmcmarkets

Quantitative Trader

Toronto, ON

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

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

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Volunteer Computer Science Internship information

What types of projects do volunteer computer science interns typically work on, and how much guidance can I expect?

Volunteer Computer Science Interns often contribute to real-world projects such as developing websites, improving nonprofit software tools, or assisting with data analysis and automation tasks. You can generally expect to work closely with a small team or directly under a lead developer, receiving mentorship and feedback throughout your internship. While some tasks may require independent problem-solving, most organizations provide clear project goals, regular check-ins, and opportunities to ask questions. This structure helps interns learn new technologies while making a meaningful impact.

What is a volunteer computer science internship?

A Volunteer Computer Science Internship is an unpaid program where individuals, often students or recent graduates, gain practical experience in computer science by contributing their skills to organizations, non-profits, or community projects. Interns typically work on software development, coding, IT support, or data analysis tasks under the supervision of professionals. This type of internship helps participants build their technical skills, expand their professional network, and enhance their resumes, all while supporting a cause or organization in need. Volunteer internships can be part-time or full-time and may be completed remotely or on-site, depending on the organization's needs.

What are the key skills and qualifications needed to thrive as a volunteer computer science intern, and why are they important?

To thrive as a Volunteer Computer Science Intern, you need a strong foundation in programming languages (such as Python, Java, or C++), basic computer science principles, and often current enrollment in a relevant degree program. Familiarity with version control systems like Git, collaborative platforms such as GitHub, and exposure to common development environments are typically expected. Strong problem-solving skills, willingness to learn, and effective communication make an intern stand out in team-based or project-driven settings. These abilities enable you to contribute meaningfully, adapt to real-world projects, and maximize both your learning and your impact within the organization.
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Volunteer Computer Science Internship jobs near you
Infographic showing various Volunteer Computer Science Internship job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Quantitative Trader

Cmcmarkets

Toronto, ON

Full-time

Re-posted 14 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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