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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 ...

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 ...

Synechron

Quantitative Developer with MatLab

Toronto, ON · On-site

$130 - $140/hr

## Quantitative Developer with MatLabApplylocations: Toronto, ONtime type: Full timeposted on: Posted Todayjob requisition id: JR1041738**We are**At Synechron, we believe in the power of digital to ...

Synechron

Quantitative Developer

Toronto, ON · Hybrid

CA$140K - CA$150K/yr

Our challenge We are seeking a highly skilled and motivated Quantitative Developer to join our Toronto-based Quantitative Development team. This strategic role provides an excellent opportunity to ...

BeachHead Inc.

Quantitative Developer - CCR

Toronto, ON · On-site

$90 - $120/hr

Working with one of our top financial clients, this role calls for a Quantitative Developer - CCR to join the Quantitative Engineering team. This position offers the opportunity to contribute to ...

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 ...

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 ...

Synechron

Quantitative Developer with MatLab

Toronto, ON · Hybrid

CA$130K - CA$140K/yr

Our challenge We are seeking a highly skilled and motivated Quantitative Developer to join our Toronto-based Quantitative Development team. This strategic role provides an excellent opportunity to ...

Fionics

We've got a great opportunity for a talented MFT or HFT Quant Researcher/Trader that likes trading ... Strong programming skills in Python or another relevant language * The ability to work ...

Fionics

We've got a great opportunity for a talented MFT or HFT Quant Researcher/Trader that likes trading ... Strong programming skills in Python or another relevant language * The ability to work ...

Td

CA$100K - CA$135K/yr

The Quantitative Engineering & Development (QED) team provides a full suite of quantitative development and risk management services to global equity derivatives sales and trading desks, playing a ...

Tradinghub

Quantitative Developer - CaaS

Toronto, ON · On-site

$120 - $180/hr

The Role We are seeking a Quantitative Developer to help design, build, and validate the models that power our industry‑leading market surveillance and analytics products. As part of our ...

Fionics

CA$150K - CA$300K/yr

Quant PM (Remote) - you bring the strategies, our client brings the FPGA infra, execution, data, and a team of 5-10 engineers/researcher exclusively for you. $150k-$300k base + 20-40% pnl split ...

Fionics

CA$150K - CA$300K/yr

Quant PM (Remote) - you bring the strategies, our client brings the FPGA infra, execution, data, and a team of 5-10 engineers/researcher exclusively for you. $150k-$300k base + 20-40% pnl split ...

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All JobsQuant Engineer JobsQuant Engineer Jobs in Ontario

Quant Engineer information

What engineer makes $500,000 a year?

Quantitative engineers, or quants, working in finance or hedge funds with extensive experience, advanced degrees, and strong programming skills can earn $500,000 or more annually through base salary, bonuses, and profit sharing. Such compensation typically requires expertise in mathematics, programming languages like Python or C++, and a deep understanding of financial markets. These roles are often located in major financial hubs and demand high levels of performance and specialization.

How much do quants get paid?

Quantitative analysts, or quants, typically earn between $100,000 and $200,000 annually at entry to mid-level positions, with senior roles often exceeding $300,000 including bonuses. Compensation varies based on experience, location, firm size, and performance, with many quants also receiving performance-based bonuses and benefits. Strong skills in mathematics, programming, and finance are essential for higher salaries in this field.

What engineers make $300,000 a year?

Senior quantitative engineers, often called quant researchers or quant developers, can earn $300,000 or more annually, especially with experience, advanced degrees, and expertise in programming languages like Python or C++, as well as knowledge of financial markets and risk management. Compensation typically includes base salary, bonuses, and profit sharing, particularly in hedge funds, investment banks, and proprietary trading firms.

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 are Quant Engineers?

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.

Do I need a PhD to be a quant?

A PhD is not strictly required to become a quantitative engineer, but many roles prefer candidates with advanced degrees in fields like mathematics, physics, or engineering. Strong programming skills, proficiency in tools like Python or C++, and solid quantitative knowledge are essential for success in the field.

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.

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 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 July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Junior Quant Developer

Junior Quant Developer

Squarepoint Capital

London, ON • On-site

Other

Re-posted 11 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

Apply