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Quant Developer Internship Jobs in Toronto, ON (NOW HIRING)

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 ...

... engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers. - Strong quantitative background and coursework in or working ...

... engineering experience: through previous internships, work experience, coding competitions, and/or ... quantitative background and coursework in or working knowledge of linear algebra, calculus, and ...

University degree in a quantitative discipline such as Math, Statistics, Finance, Economics, Engineering, or a related field. * Previous experience (including co/op or internship) in capital markets ...

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

... engineering excellence, ensuring high-quality, well structured and tested code. - Submit and ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Product Data Analyst

Toronto, ON ยท Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... Degree in a quantitative field * Hex, dbt, and Bigquery experience * Prior growth-stage consumer ...

Research Scientist, Learnable Planner

Toronto, ON ยท On-site +1

CA$158K - CA$269K/yr

... engineering excellence, ensuring high-quality, well structured and tested code. - Submit and ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Quant Developer Internship information

What is a Quant Developer Internship?

A Quant Developer Internship is a temporary position, usually for students or recent graduates, that offers hands-on experience in quantitative finance and software development. Interns work with quantitative analysts and developers to design, implement, and optimize financial models and trading algorithms. The role typically involves programming, data analysis, and collaborating with other teams to solve real-world financial problems. This internship is an excellent opportunity for those interested in combining finance, mathematics, and computer science in a professional setting.

What is the difference between Quant Developer Internship vs Quant Analyst Internship?

AspectQuant Developer InternshipQuant Analyst Internship
Required CredentialsTypically pursuing or holding a degree in Computer Science, Mathematics, or related fieldsUsually pursuing or holding a degree in Finance, Economics, or related fields
Work EnvironmentHands-on coding, software development, and algorithm implementationData analysis, financial modeling, and strategy development
Employer & Industry UsageUsed in hedge funds, investment banks, and trading firms focusing on technology-driven rolesCommon in asset management firms, hedge funds, and financial institutions focusing on market analysis

While both internships involve finance and quantitative skills, Quant Developer Internships focus more on programming and software development, whereas Quant Analyst Internships emphasize financial analysis and modeling. Candidates should choose based on their strengths in coding versus financial analysis.

What are some common challenges faced during a Quant Developer Internship, and how can interns overcome them?

Quant Developer Interns often encounter challenges such as adapting to complex financial models, working with large datasets, and mastering specialized programming languages like Python or C++. To overcome these, interns should proactively seek guidance from senior team members, participate in regular code reviews, and allocate time to strengthen their understanding of both financial concepts and software development best practices. Collaboration and open communication within the team are crucial for navigating technical obstacles and successfully delivering project tasks.

What are the key skills and qualifications needed to thrive as a Quant Developer Intern, and why are they important?

To thrive as a Quant Developer Intern, you need a strong background in mathematics, statistics, and programming, typically demonstrated through a degree in quantitative fields like computer science, mathematics, or engineering. Familiarity with programming languages such as Python, C++, or Java, and experience using financial modeling tools or libraries are highly valued. Analytical thinking, attention to detail, and effective communication are critical soft skills for collaborating with teams and interpreting complex data. These skills and qualities are essential for developing robust quantitative models and contributing effectively to quantitative research and trading strategies.
What are the most commonly searched types of Quant Developer jobs in Toronto, ON? The most popular types of Quant Developer jobs in Toronto, ON are:
Infographic showing various Quant Developer Internship job openings in Toronto, ON as of July 2026, with employment types broken down into 71% Full Time, 19% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Quantitative Trader

Cmcmarkets

Toronto, ON โ€ข On-site

Full-time

Re-posted 21 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.