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Quant Engineer Jobs in Ontario (NOW HIRING)

... engineering experience, ideally in financial services or another quantitative domain * Educational background: degree in a field with experience using technology to solve quantitative problems

Posted today

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 ...

... 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 the salary of a quant engineer?

The salary of a quant engineer typically ranges from $100,000 to $200,000 annually, with higher compensation for those with advanced degrees, extensive experience, or specialized skills in programming languages like Python or C++. In addition to base salary, many quant engineers receive bonuses and performance incentives, especially in financial firms or hedge funds.

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 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.

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:
Infographic showing various Quant Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Hybrid job distribution.

Full-time

Medical, Dental, Retirement

Posted 12 hours ago

Posted today


Job description

Referral Level: Level 2

Mackenzie Investments  

IGM Financial Inc. is a leading wealth and asset management company in Canada, managing approximately $310 billion in assets as of December 31, 2025. It offers financial planning and investment services to over two million Canadians through IG Wealth Management and Mackenzie Investments. 

Mackenzie Investments, founded in 1967, is a key part of IGM's business model, serving as a comprehensive asset-management partner for Canadian financial advisors and their clients. 

At Mackenzie Investments You Can Build Your Career with Confidence. We are proud to be recognized as one of Canada’s Top 100 Employers for the fourth consecutive year and one of Canada’s Best Diversity Employers. Our vision and strategy aim to innovate the industry and support Canadians in achieving their financial goals. 

Join our team to engage in continuous learning and skill development in a supportive environment. Experience the best of both worlds with our hybrid work environment, where you spend three days a week in the office, connecting, collaborating, and enjoying quality time with your amazing colleagues!  Our Values: Be better; we strive for improvement in everything we do. Be accountable; we foster clarity and are empowered to act responsibly. Be a team; we are united to drive collective impact to achieve our goals. 

THE ROLE

The Multi-Asset Strategies team is seeking an exceptional technologist to help build the next generation of our systematic investment platform. The role spans market data, investment signals, portfolio construction, and reporting across a technology stack that includes Python, MongoDB/DocumentDB, FactSet/Axioma, Tableau, AWS, and GenAI infrastructure. We are a fast-paced team that moves quickly on new ideas and new technologies.

The ideal candidate is passionate about technology and portfolio management, innovative, productive, humble, and has the highest standard of honesty and integrity. They are motivated by achieving excellence and by being part of a team who strives continuously to be the best in its field. The successful candidate will gain valuable knowledge and skills by being part of a team that makes investment decisions on a large breadth of asset classes, geographies, and investment strategies.

The main responsibilities of the role:

  • Build and operate AWS-based services for portfolio workflows — MWAA, Lambda, Fargate — and the CI/CD pipelines (Jenkins) that support them
  • Develop and extend GenAI infrastructure (Bedrock or SageMaker, vector databases, RAG, LLM application frameworks) to accelerate research and portfolio workflows
  • Design, development, and support of new and existing software and systems supporting systematic investment decisions in equity, options, bonds, currencies, commodities, and related derivative products
  • Implement and support systems behind holdings and position management, trade submission, and reporting
  • Partner with investment professionals and technology teams to build technology that supports their work
  • Own the reliability, observability, and operational health of investment systems running in production
  • Build and maintain data pipelines for market data, alternative data, and investment signals
  • Support day-to-day portfolio management activities
  • Keep the team at the leading edge — scan and evaluate emerging technologies relevant to systematic investing (cloud, GenAI, quant libraries, data platforms), recommend what to adopt, pilot, or skip, and share findings through write-ups and hands-on mentoring

Minimum requirements for this role include:

  • 5+ years of professional software engineering experience, ideally in financial services or another quantitative domain
  • Educational background: degree in a field with experience using technology to solve quantitative problems
  • Strong interest in capital markets and the systems that support them required, prior experience an asset
  • Advanced knowledge of Python as well as experience using Pandas
  • Strong software engineering fundamentals: version control (Git), code review, automated testing, and system design
  • Track record of staying current with emerging technologies and bringing teammates along — e.g., evaluating new tools, leading internal tech talks or write-ups, or mentoring others on adoption
  • Hands-on AWS (or equivalent cloud technology) experience required, particularly with MWAA (Managed Workflows for Apache Airflow), Lambda, and Fargate. Experience building and maintaining CI/CD pipelines with Jenkins
  • Experience with GenAI infrastructure (e.g., Amazon Bedrock or SageMaker, vector databases, retrieval-augmented generation, prompt orchestration, or LLM application frameworks) an asset
  • High performing team player
  • Excellent communication skills

Benefits 

  • COMPETITIVE COMPENSATION & RECOGNITION: competitive base salary, performance-weighted bonus, education/career support, option to join Employee Share Purchase Plan with employer matching component. 
  • EMPLOYEE BENEFITS & INSURANCE: competitive health and dental coverage, flexible plan for you and your family and short-term & long-term disability plans. 
  • RETIREMENT SAVINGS PROGRAMS: voluntary Group RRSP enrolment with employer matching component. 
  • WORK LIFE BALANCE: paid volunteer days, competitive time off including 10 wellness days off, WorkPerks discount program, hybrid & flex work arrangements. 
  • INCLUSIVE CULTURE AND DIVERSITY: living our core values: Be a Team, Be Accountable, Be Better, engaging with community through Business Resource Groups (BRG communities are volunteer employee-led groups formed around a common interest, identity, or background).  

IGM is a diverse workplace committed to doing business inclusively - this starts with having a representative workforce! We encourage applications from all qualified candidates that represent the diversity present across Canada – including racialized persons, women, Indigenous persons, persons with disabilities, 2SLGBTQIA+ community, gender diverse and neurodiverse individuals, as well as all who may contribute to the further diversification of ideas. 

Mackenzie Investments is an accessible employer committed to providing barrier-free recruitment experience. If you require accommodation or this information in an alternate format at any stage of the recruitment process, please reach out to the Talent Acquisition team who will work with you to meet your needs.    

How to Apply: Interested candidates are invited to submit their resume and a cover letter detailing their qualifications and experience to https://www.mackenzieinvestments.com/en/careers.  

Artificial Intelligence in Recruitment: As part of our Talent Acquisition process, we may use artificial intelligence and automated tools to support activities such as candidate sourcing, application review, and interview scheduling. These tools support the recruitment process; all hiring decisions are made by people. 

We thank all applicants for their interest in Mackenzie Investments; however, only those candidates selected for an interview will be contacted. 

Please apply by August 21 2026.

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