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Quantitative Math Jobs in Toronto, ON (NOW HIRING)

Cmcmarkets

Quantitative Trader

Toronto, ON

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 ...

Royal Bank of Canada

Quant Developer

Toronto, ON · On-site

CA$80K - CA$130K/yr

You will deliver custom technology and analytics solutions to support quantitative processes that enable management Quant Investment team. Applying yourengineering, financial and mathematical ...

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All JobsQuantitative Math JobsQuantitative Math Jobs in Toronto, ON

Quantitative Math information

What is a quantitative math job?

A quantitative math job involves applying advanced mathematical and statistical techniques to analyze data and solve complex problems, often in fields like finance, technology, engineering, or research. Professionals in these roles—sometimes called 'quants'—develop mathematical models, algorithms, and simulations to inform decision-making, risk management, or investment strategies. They typically use tools such as programming languages (like Python or R), statistical software, and large datasets. Quantitative math jobs require a strong background in mathematics, statistics, and often computer science, and they are highly valued in industries that rely on data-driven insights.

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

To thrive as a Quantitative Analyst, you need strong skills in mathematics, statistics, and data analysis, usually supported by a degree in mathematics, finance, engineering, or a related field. Familiarity with programming languages such as Python, R, or MATLAB, and experience with financial modeling tools or statistical software, are typically required. Analytical thinking, attention to detail, and effective communication help you interpret complex data and convey insights to stakeholders. These skills are crucial for developing accurate models, making informed financial decisions, and supporting business objectives in data-driven environments.

What are some typical challenges faced by professionals in quantitative math roles, and how can they be addressed?

Professionals in Quantitative Math often encounter challenges such as interpreting complex data sets, developing robust mathematical models, and ensuring accuracy under tight deadlines. Collaboration with cross-functional teams, such as data scientists, financial analysts, and software engineers, is key to overcoming these challenges. Staying current with the latest quantitative techniques and regularly validating models can help maintain high standards of accuracy and relevance.

What is the difference between Quantitative Math vs Data Analyst?

AspectQuantitative MathData Analyst
Required CredentialsMathematics, Statistics, or related degreesStatistics, Data Science, or related degrees
Work EnvironmentFinancial firms, tech companies, research institutionsBusiness, marketing, finance departments
Employer & Industry UsageQuantitative roles in finance, trading, researchBusiness insights, reporting, data visualization

Quantitative Math focuses on developing mathematical models and algorithms often used in finance and research, requiring advanced math skills. Data Analysts interpret data to provide business insights, using statistical tools and visualization. While both roles analyze data, Quantitative Math emphasizes model creation and complex calculations, whereas Data Analysts focus on data interpretation and reporting.

Infographic showing various Quantitative Math job openings in Toronto, ON as of September 2026, with employment types broken down into 74% Full Time, 24% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, and 4% Remote job distribution.

Quantitative Trader

Toronto, ON

Cmcmarkets
See more jobs at Cmcmarketsexternal

Full-time

Re-posted 16 days ago

Job description

Are you a recent graduate with internship experience in trading or finance, and strong Python skills? Join us at CMC Markets as we expand our Trading desk in Toronto! This role will require availability to work a mix of week day and weekends.

About the Role:
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-office internship experience eager to develop their career in trading.

What You'll Do:

  • Operate the dealing desk on a day-to-day basis, including executing algorithmic trades and hedging market risk associated with CMC's product offering.

  • Facilitate the increased use of automation in pricing and risk management to improve efficiency in hedge execution and flow management.

  • Contribute to optimal risk management practices - from concept to implementation - ensuring they align with overall trading strategy.

  • Maintain the firm's global trading exposures within predefined company limits (MRCR, Risk and P&L).

  • Collaborate with the Financial Risk Management team to develop a strong understanding of market, credit, and liquidity risk across products.

  • Apply a data-driven approach to all strategy decisions using Python and other analytical tools to extract insights and support improvements.

  • Monitor and analyse all external trading costs, identifying significant changes and suggesting cost-saving opportunities.

  • Track the market impact of hedge executions and ensure full compliance with relevant exchange rules.

  • Review client activity and system behaviour for risks to revenue, working alongside Sales and Financial Risk teams to address any issues.

  • Regularly assess the firm's best execution obligations - reviewing reports daily and making adjustments to pricing configurations as needed.

What We're Looking For:

  • A degree in a relevant scientific or quantitative discipline (e.g. 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 analytical skills, with experience in data analysis and modelling.

  • Proficiency in Python, with the ability to use it for automation, data analysis, or algorithmic trading.

  • Strong understanding or interest in financial markets, trading strategies, and how external events influence product pricing.

  • Excellent communication skills and the ability to collaborate across teams.


CMC Markets is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

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