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Quant Engineer Jobs in Ontario (NOW HIRING)

Lead, mentor, and grow a team of engineers and quantitative developers, setting clear expectations for technical quality and rigor. * AI Integration: Design, develop, and deploy AI-driven solutions ...

Lead, mentor, and grow a team of engineers and quantitative developers, setting clear expectations for technical quality and rigor. * AI Integration: Design, develop, and deploy AI-driven solutions ...

Showing results 21-40

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.
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What cities in Ontario are hiring for Quant Engineer jobs? Cities in Ontario with the most Quant Engineer job openings:
Infographic showing various Quant Engineer job openings in Ontario as of July 2026, with employment types broken down into 4% Internship, 75% Full Time, 8% Part Time, and 13% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution.

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Re-posted 8 days ago


Job description

We are currently looking for highly talented individuals with a history of exceptional academic and/or industry achievement who are interested in working in a fast paced, stimulating and dynamic environment.

Primary Responsibilities:

  • Develop, modify, optimize, test and implement real time quantitative trading models and strategies.
  • Perform statistical analysis of historical and current financial market data.
  • Research strategies in equities, futures, fixed income, and other asset classes.
  • Generate new indicator ideas.

Requirements:

  • PhD or Masters in Mathematics, Statistics, Physics or Operations Research.
  • Must possess expert level C/C++ programming skills.
  • Incredibly strong problem solving and analytical skills.
  • Time series analysis and statistical modeling experience.
  • Some financial experience desired but not required.
  • Must be a strong self-starter and able to work well independently.