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Graduate Quantitative Analyst Jobs in Ontario (NOW HIRING)

Cmcmarkets

Quantitative Trader

Toronto, ON

Are you a recent graduate with internship experience in trading or finance, and strong Python ... Monitor and analyse all external trading costs, identifying significant changes and suggesting cost ...

National Centre for Social Research

Undertake qualitative and quantitative data collection and analysis, depending on your background ... Around two years of post-graduate research experience, although this is not essential. * Experience ...

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Graduate Quantitative Analyst information

See Ontario salary details

$28K

$108.8K

$198.5K

How much do graduate quantitative analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for graduate quantitative analyst in Ontario is $108,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $144,500.00 per year, depending on experience, location, and employer.

What is a graduate quantitative analyst?

A Graduate Quantitative Analyst is an entry-level role in finance, typically within investment banks, hedge funds, or asset management firms. The role involves using mathematical and statistical models to analyze financial data, develop trading strategies, and assess risk. Candidates usually have a strong background in mathematics, statistics, physics, or computer science. They work closely with traders, data scientists, and risk managers to optimize decision-making. Programming skills in Python, R, or C++ are often required.

What does a graduate quantitative analyst do?

A typical day for a Graduate Quantitative Analyst involves collecting, cleaning, and analyzing large data sets to identify trends or support financial and business modeling efforts. You’ll collaborate closely with senior analysts, portfolio managers, and IT teams to design and implement quantitative strategies, build statistical models, and run simulations. In addition, you may present your findings to team members or contribute to ongoing research projects, which helps you quickly build your technical and communication skills. This dynamic environment offers excellent opportunities to learn from experienced professionals and gain exposure to different aspects of quantitative analysis.

What are the key skills and qualifications needed to thrive as a graduate quantitative analyst?

To thrive as a Graduate Quantitative Analyst, you need a strong background in mathematics, statistics, data analysis, and a relevant degree such as mathematics, statistics, finance, or engineering. Proficiency with technical tools like Python, R, SQL, and statistical modeling software is commonly required, and familiarity with data visualization platforms is a plus. Strong problem-solving abilities, attention to detail, and clear communication skills help you stand out in this collaborative and analytical role. These qualifications are crucial for effectively analyzing complex data sets, generating insights, and supporting strategic decision-making in quantitative-driven organizations.

What are popular job titles related to Graduate Quantitative Analyst jobs in Ontario?

For Graduate Quantitative Analyst jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Graduate Quantitative Analyst jobs in Ontario look for?

The top searched job categories for Graduate Quantitative Analyst jobs in Ontario are:

Graduate Quantitative Analyst jobs near you
Infographic showing various Graduate Quantitative Analyst job openings in Ontario as of August 2026, with employment types broken down into 3% As Needed, 67% Full Time, 28% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $108,769 per year, or $52.3 per hour.

Quantitative Trader

Cmcmarkets

Toronto, ON

Full-time

Re-posted 8 hours 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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