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Quant Engineer Jobs in Ontario (NOW HIRING)

Squarepoint Capital

Junior Quant Developer

London, ON · On-site

As a Quant Developer at Squarepoint you will work side-by-side with Quant Researchers and Traders to implement novel trading strategies and software for research projects. You could develop tools to ...

Royal Bank of Canada

Quant Developer

Toronto, ON · On-site

CA$80K - CA$130K/yr

Use Python and MATLAB to produce and support quantitative models, analytics and processes following software engineering best practices (test & deployment automation,documentation, peer code reviews ...

Quadrature Capital

Quantitative Developer

London, ON

... quant developers and software engineers who want to help build it. Where you might join depends on your strengths and interests. What we're looking for * Strong programming skills - we primarily work ...

Jay Analytix

Quantative Developer

Toronto, ON · On-site

Quantitative Developer Location: Toronto, Ontario, Canada Hybrid Employment Type: Contract About the Role We are seeking a Quantitative Developer with strong expertise in quantitative finance and ...

Jobtailor

Senior Quantitative Engineer

Toronto, ON · On-site

... quantitative finance, with a strong focus on Python programming, algorithm design, and financial model development. Proficient in utilizing analytics libraries and frameworks to enhance portfolio ...

New

Jay Analytix

Quantative Developer

Toronto, ON · Hybrid

Quantitative Developer Location: Toronto, Ontario, Canada - Hybrid Employment Type: Contract About the Role We are seeking a Quantitative Developer with strong expertise in quantitative finance and ...

RBC

Senior Quantitative Engineer

Toronto, ON · On-site

Develop software for quantitative and portfolio management using Python * Design/test/maintain/improve the core trading and research applications being developed * Develop code to extract data from ...

Posted today

Socket.dev

Senior Quantitative Engineer

Toronto, ON · On-site

Develop software for quantitative and portfolio management using Python * Design/test/maintain/improve the core trading and research applications being developed * Develop code to extract data from ...

New

Squarepoint Capital

Intern Quant Researcher

London, ON · On-site

CA$150K/yr

Overview of Intern Quant Researcher Position: * Research and implement strategies within the firm ... Programming proficiency with at least one major programming or scripting language (e.g. C++, Java ...

SS&C

Lead Quantitative Financial Engineer

Toronto, ON · Hybrid

We're seeking a senior quantitative risk professional with strong financial engineering expertise, advanced programming skills, and practical AI experience. The ideal candidate can design complex ...

Mackenzie Financial Corporation

CA$68K - CA$78K/yr

We are currently hiring a Quantitative Developer Intern for the winter term from January to April 2027 to work in the Fixed Income Platform Engineering group, the technology side of the FI ...

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 ...

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Quant Engineer information

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.

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

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

What are popular job titles related to Quant Engineer jobs in Ontario?

For Quant Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Quant Engineer jobs in Ontario look for?

The top searched job categories for Quant Engineer jobs in Ontario are:

What cities in Ontario are hiring for Quant Engineer jobs?

Cities in Ontario with the most Quant Engineer job openings:

Quant Engineer jobs near you
Infographic showing various Quant Engineer job openings in Ontario as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Junior Quant Developer

London, ON • On-site

Squarepoint Capital
Finance and Insurance • 1 - 5K employees
Learn more about Squarepoint Capitalexternal

Full-time

Re-posted 7 days ago

Job description

Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity.

Position Overview:

As a Quant Developer at Squarepoint you will work side-by-side with Quant Researchers and Traders to implement novel trading strategies and software for research projects. You could develop tools to apply advanced statistical methods in order to identify new trading opportunities and to monitor their impact over time. You could also develop improvements to our trading strategies through the running and thorough analysis of backtesting simulations across vast amounts of proprietary data.

Whatever your project, you will drive cross-team initiatives at Squarepoint and will gain an excellent chance to learn from some of the world's most knowledgeable industry experts as you work towards our continued innovation in the quant research space.

Required Qualifications:

  • Degree in Applied Math, Physics, Engineering, Quantitative Finance, Computer Science or other quantitative disciplines
  • Up to 4 years of experience in a relevant role such as software or quant development
  • Proficiency in at least one of Python, C++, or KDB+/q
  • Strong interest in, or knowledge of finance and the global markets
  • Ability to work effectively with AI tools and systems, including demonstrable experience using them collaboratively to enhance software development, data analysis, or research workflows.
  • Experience working with git and Linux
  • Excellent written and verbal communication skills
  • Eagerness to continuously learn new technologies and develop with us
  • Ability to work well in a fast-paced environment

Nice to have:

  • Master's degree or higher with emphasis in a highly quantitative discipline
  • Deep knowledge of financial markets in at least one domain or asset class
  • Experience with database management systems and related technologies such as SQL
  • Experience working with financial data in a similar role

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