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Quant Jobs in Toronto, ON (NOW HIRING)

Quantitative Developer with MatLab

Toronto, ON ยท 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 ...

As a Quantitative Trader, you'll play a key role in managing market risk and supporting algorithmic trading on a fast-paced dealing desk. This is a dynamic position ideal for someone with front ...

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 ...

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Quant information

See Toronto, ON salary details

$40.1K

$165.3K

$286.8K

How much do quant jobs pay per year?

As of Aug 4, 2026, the average yearly pay for quant in Toronto, ON is $165,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,678.00 and $188,959.00 per year, depending on experience, location, and employer.

What does a quant do?

Quant refers to a quantitative analyst whose responsibilities are to research and analyze market trends in finance. As a quant, you research and decipher statistics and design financial models to help banks, insurance companies, and other finance-focused organizations assess and prevent their risk, make sound investments, and better understand pricing structures to increase profit. Your duties also include creating codes for programs that follow financial trends and patterns, recording data and analyses, and consulting with business leaders in an organization to offer suggestions to combat potential financial risks. Large financial institutions and firms with trading processes typically hire quants.

What is a quant?

Quants, short for quantitative analysts, are professionals who use mathematical models, statistics, and computational techniques to analyze financial data and develop trading strategies. They are typically employed by investment banks, hedge funds, asset management firms, and financial technology companies. Quants play a crucial role in pricing securities, managing risk, and optimizing portfolios. Their expertise is essential for making data-driven decisions in complex financial markets.

What are some common challenges faced by quants when collaborating with software developers and traders?

Quants often encounter challenges in bridging the gap between theoretical models and practical implementation. Effective communication is essential, as translating complex quantitative concepts into actionable trading strategies requires close collaboration with both software developers and traders. Misunderstandings can occur due to differences in technical language or priorities, so fostering a collaborative environment and being open to feedback is crucial. Regular meetings and clear documentation can help ensure that models are accurately implemented and aligned with trading objectives.

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

To thrive as a Quant, you need strong quantitative and analytical skills, typically supported by advanced degrees in mathematics, statistics, physics, or related fields. Proficiency with programming languages like Python or C++, financial modeling, and familiarity with tools such as MATLAB or R are essential, along with knowledge of financial markets. Exceptional problem-solving, attention to detail, and effective communication help Quants stand out in collaborative and high-stakes environments. These skills enable Quants to develop robust models and strategies that drive critical decision-making and risk management in finance.

What is the difference between Quant vs Data Analyst?

AspectQuantData Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires advanced degreesBachelor's in Statistics, Economics, or related field; sometimes requires certifications
Work EnvironmentFinancial firms, hedge funds, investment banksCorporations, consulting firms, market research
Employer & Industry UsagePrimarily in finance and tradingAcross various industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding quantitative roles in financeExploring data analysis careers

While both Quant and Data Analyst roles involve working with data, Quants focus on developing complex models for trading and risk management in finance, often requiring advanced degrees and specialized skills. Data Analysts typically interpret data to inform business decisions across industries, with a broader scope and different tools. The roles overlap in data handling but differ significantly in application and industry focus.

Do quants get paid well?

Quantitative analysts, or quants, typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base pay, bonuses, and profit-sharing, reflecting the demand for their expertise in trading, risk management, and financial modeling.
What are the most commonly searched types of Quant jobs in Toronto, ON? The most popular types of Quant jobs in Toronto, ON are:
What are popular job titles related to Quant jobs in Toronto, ON? For Quant jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Quant jobs in Toronto, ON look for? The top searched job categories for Quant jobs in Toronto, ON are:
Infographic showing various Quant job openings in Toronto, ON as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $165,343 per year, or $79.5 per hour.

Quantitative Developer with MatLab

Synechron

Toronto, ON โ€ข Hybrid

CA$130K - CA$140K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 25 days ago


Job description

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,850+, and has 60 offices in 20 countries within key global markets.

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 work closely with the Quantitative Research and Investments teams, delivering cutting-edge technology solutions and advanced analytics that underpin our quantitative investment strategies. The ideal candidate will have strong technical expertise, a passion for financial modeling, and a collaborative mindset to contribute to a fast-paced, innovation-driven environment.

Additional Information*

The base salary for this position will vary based on geography and other factors.In accordance with law, the base salary for this role if filled within Toronto, ON is CAD $130k - CAD $140k/year & benefits (see below).

The Role

Responsibilities:

  • Model Development & Deployment:Design, build, deploy, and support robust, production-grade quantitative models and portfolio optimization tools that enhance investment decision-making.
  • Technical Translation:Collaborate with research and investment teams to translate complex business requirements into scalable, maintainable technical solutions adhering to software engineering best practices.
  • Code Quality & Documentation:Write clean, efficient, and well-documented code, incorporating automated testing, peer reviews, and version control to ensure high reliability and maintainability.
  • Cross-Functional Collaboration:Work within a dynamic, members Agile development team, fostering continuous improvement, regular communication, and iterative delivery of features and solutions.
  • Operational Support:Maintain and enhance existing models and tools, troubleshoot production issues, and implement enhancements to support evolving investment strategies and data needs.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, Quantitative Finance, or a related discipline.
  • MATLAB:Expert proficiency in developing, validating, and deploying complex mathematical models and optimization solutions suitable for production use.
  • Python:Extensive experience with Python, particularly with pandas for data analysis, manipulation, and scripting for quantitative workflows.
  • SQL:Strong ability to write and optimize complex SQL queries for retrieving, aggregating, and analyzing large datasets.
  • Financial Knowledge:Deep understanding of asset management and quantitative investing principles, including familiarity with financial statements, risk metrics, pricing models, and data.
  • Quantitative Skills:Demonstrated strong mathematical, statistical, and analytical capabilities to develop sophisticated models and interpret complex data.

Preferred, but not required:

  • CFA Charter:Holders of the Chartered Financial Analyst (CFA) designation are highly valued.
  • Advanced Degree:Master of Mathematical Finance (MMF), PhD, or equivalent advanced degree in Financial Engineering, Applied Mathematics, or related fields.
  • Platform Experience:Hands-on experience with Databricks, cloud-based data platforms, or similar data engineering environments.

We offer:

  • A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
  • 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave(floating days and sick days).
  • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.
  • Flexible hybrid policy.
  • RRSP with employer's contribution up to 4%.
  • A higher education certification policy.
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
  • Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms.
  • A truly diverse, fun-loving and global work culture.

SYNECHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.


All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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