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Algorithmic Trader Jobs in Toronto, ON (NOW HIRING)

Cmcmarkets

Quantitative Trader

Toronto, ON · On-site

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 ...

Sprott

Be Seen First

Equity Trader

Toronto, ON · On-site

CA$150K/yr

Equity Trader NOC: 11103 - Securities agents, investment dealers and brokers (TEER 1) Number of ... Select and apply appropriate execution strategies, including electronic and algorithmic execution ...

Fidelity International

Trader Senior

Toronto, ON · On-site

The desk trades fixed income, equity and linked instruments including derivatives, futures, and ... You can utilize algorithmic technologies and industry platforms to execute investors cash and ...

Jobtailor

Senior Quantitative Engineer

Toronto, ON · On-site

Implement software for portfolio optimization, Monte Carlo simulations, trading algorithms, financial health scores, and probability assessment models Requirements * 5+ years of software development ...

New

Talentlab

Senior Staff Compiler Engineer

Markham, ON

Exploration and analysis of performance/area/power trade-offs for future HW and SW ML algorithms * Pre-Silicon prediction of performance for various ML algorithms * Running, debugging and analyzing ...

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All JobsAlgorithmic Trader JobsAlgorithmic Trader Jobs in Toronto, ON

Algorithmic Trader information

What is an algorithmic trader?

An algorithmic trader is a financial professional who uses computer algorithms to automate trading strategies in financial markets. These traders develop, test, and implement mathematical models that analyze market data and execute trades at speeds and frequencies impossible for humans. Algorithmic traders work in environments such as investment banks, hedge funds, and proprietary trading firms, and their goal is often to maximize returns while managing risk. They typically need strong skills in programming, quantitative analysis, and finance.

What are the key skills and qualifications needed to thrive as an algorithmic trader?

To thrive as an Algorithmic Trader, you need a strong background in mathematics, statistics, programming (often Python, C++, or R), and a solid understanding of financial markets, usually supported by a relevant degree. Familiarity with trading platforms, backtesting frameworks, and data analysis tools, plus certifications like CFA or FRM, are commonly required. Strong analytical thinking, attention to detail, and the ability to work under pressure are vital soft skills for success in this fast-paced environment. These skills enable traders to develop effective, automated strategies that capitalize on market opportunities while managing risk efficiently.

What are some typical challenges faced by algorithmic traders in their day-to-day work?

Algorithmic traders often encounter challenges such as maintaining and updating trading algorithms to adapt to rapidly changing market conditions, ensuring low-latency execution, and managing the risks associated with automated trading. Collaborating closely with quantitative analysts, software engineers, and risk managers is essential to refine strategies and troubleshoot technical issues. Staying compliant with regulatory requirements and monitoring for unexpected market behaviors or system errors are also important aspects of the role.

What is the difference between Algorithmic Trader vs Quantitative Analyst?

AspectAlgorithmic TraderQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedFinancial institutions, research firms; analytical and research-focused
Employer & Industry UsageUsed primarily in trading and investment firmsUsed in asset management, hedge funds, and investment banks

While both roles require strong quantitative skills and programming knowledge, Algorithmic Traders focus on developing and executing trading algorithms in real-time markets, whereas Quantitative Analysts primarily develop models and strategies for investment decision-making. The roles often overlap but differ mainly in their focus on trading execution versus model development.

How do you become an algorithmic trader?

To become an algorithmic trader, you typically need a strong background in mathematics, programming, and finance, often holding a degree in a related field such as computer science, engineering, or finance. Developing skills in programming languages like Python or C++, understanding trading strategies, and gaining experience with trading platforms and data analysis are essential steps. Many algorithmic traders also pursue certifications or advanced degrees to enhance their knowledge and credibility.

What does an algorithmic trader do?

An algorithmic trader develops and implements automated trading strategies using computer algorithms to execute trades at high speed and volume. They analyze market data, optimize algorithms, and monitor trading systems, often using programming languages like Python or C++ and trading platforms. The role requires strong quantitative skills and understanding of financial markets.

What are the most commonly searched types of Algorithmic Trader jobs in Toronto, ON?

The most popular types of Algorithmic Trader jobs in Toronto, ON are:

What are popular job titles related to Algorithmic Trader jobs in Toronto, ON?

For Algorithmic Trader jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Algorithmic Trader jobs in Toronto, ON look for?

The top searched job categories for Algorithmic Trader jobs in Toronto, ON are:

Algorithmic Trader jobs near you
Infographic showing various Algorithmic Trader job openings in Toronto, ON as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Quantitative Trader

Toronto, ON • On-site

Cmcmarkets
See more jobs at Cmcmarketsexternal

Full-time

Re-posted 22 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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