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Quantitative Internship Jobs in Quebec (NOW HIRING)

Internship start date: May 3, 2027 _____ A Multitude of Opportunities, All in One Place With us ... Perform quantitative analyses and transform data into useful information for decision-making;

Internship start date: May 3, 2027 _____ A Multitude of Opportunities, All in One Place With us ... Perform quantitative analyses and transform data into useful information for decision-making;

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Quantitative Internship information

What is a quantitative internship?

A Quantitative Internship is a temporary position, often for students or recent graduates, where individuals apply mathematical, statistical, and computational techniques to solve real-world business problems. These internships are common in industries like finance, technology, and consulting, and typically involve tasks such as data analysis, building predictive models, and supporting trading strategies. Quantitative interns gain hands-on experience working with large datasets, programming, and collaborating with teams to drive data-informed decisions. This role is an excellent way to develop practical skills and explore careers in quantitative fields.

What kinds of projects do quantitative interns typically work on during their internship?

Quantitative interns often work on real-world data analysis, model development, and research projects that directly support the team’s trading, risk, or research objectives. These projects may involve developing statistical models, backtesting trading strategies, or automating data pipelines under the guidance of senior quants. Interns are usually paired with mentors and collaborate closely with both fellow interns and full-time analysts, providing opportunities to learn from experienced professionals and contribute meaningfully to the team's goals.

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

To thrive as a Quantitative Intern, you need strong mathematical, statistical, and analytical skills, typically supported by coursework in quantitative fields such as mathematics, statistics, physics, computer science, or finance. Familiarity with programming languages like Python, R, or MATLAB, and experience using data analysis tools and statistical software are commonly required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help set candidates apart. These competencies are crucial for accurately analyzing data, developing models, and effectively communicating insights in fast-paced, data-driven environments.

What is the difference between Quantitative Internship vs Quantitative Analyst?

AspectQuantitative InternshipQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsBachelor's or master's degree in finance, mathematics, or related fields; often requires some experience
Work EnvironmentInternship programs within financial firms, hedge funds, or investment banksFull-time role in financial institutions, hedge funds, or asset management firms
Employer & Industry UsageUsed as a training position for aspiring analysts in financeProfessional role responsible for developing models and strategies in finance

In summary, a Quantitative Internship is an entry-level, temporary position aimed at gaining experience, while a Quantitative Analyst is a full-time professional role with greater responsibilities in financial modeling and analysis.

What are the most commonly searched types of Quantitative jobs in Quebec?

The most popular types of Quantitative jobs in Quebec are:

What are popular job titles related to Quantitative Internship jobs in Quebec?

For Quantitative Internship jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Quantitative Internship jobs in Quebec look for?

The top searched job categories for Quantitative Internship jobs in Quebec are:

Infographic showing various Quantitative Internship job openings in Quebec as of August 2026, with employment types broken down into 29% Internship, and 71% Full Time. Highlights an 86% In-person, and 14% Hybrid job distribution.

Intern Software Developer - Montreal - 2027

Montreal, QC • On-site

Squarepoint Capital
Finance and Insurance • 1 - 5K employees

Internship

Posted 12 days ago


Job description

This internship is based in Montreal and is available in any season. Please indicate your preferred season in the application questions. 

The minimum length of the Internship must be 12 weeks. 

Squarepoint sits at the intersection of finance, mathematics, and technology. From petabyte-scale data platforms to ultra-low-latency trading systems, we build the infrastructure that powers systematic investing across every major asset class and market worldwide. 

We are looking for highly motivated students with a deep passion for technology and software development to join our Software Developer Internship program. As a participant in the internship program, you will work closely with experienced engineers to develop and deliver custom software solutions that solve complex problems. During your time with us, you will work in collaboration with your mentors on a project that has a visible impact on the business.  

We have internship opportunities across various teams including; Data Engineering, Risk, Market Data, Quant Development, Frontend and many more... 

Position Overview: 

  • A fast-paced training program to give you an introduction to all technical facets of software development in the algorithmic trading industry 
  • The software you build and the projects you work on will be leveraged to support active and ongoing trading with the markets  
  • Independent programming projects in Python or C++  
  • Intern social events to let you network with other Squarepoint employees and explore the city where you're spending your internship 

Required Qualifications: 

  • Pursuing a degree in Computer Science, Computer/Electrical Engineering, Mathematics or equivalent 
  • Candidates must be in penultimate year of study 
  • Knowledge of one or more of the following programming languages: Python, C++, Java, Rust, C 
  • Knowledge of Unix systems 
  • A deep passion for technology 
  • Exceptional problem-solving skills and strong communication skills