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Algorithmic Trading Jobs in Quebec (NOW HIRING)

I am currently working with a growing organization operating in data analytics sector, seeking an Algorithmic Trading Developer to help design and scale automated trading systems that transform ...

I am currently working with a growing organization operating in data analytics sector, seeking an Algorithmic Trading Developer to help design and scale automated trading systems that transform ...

I am currently working with a growing organization operating in data analytics sector, seeking an Algorithmic Trading Developer to help design and scale automated trading systems that transform ...

I am currently working with a growing organization operating in data analytics sector, seeking an Algorithmic Trading Developer to help design and scale automated trading systems that transform ...

The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud ...

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Algorithmic Trading information

What Is Algorithmic Trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

How to become an algorithmic trader?

To become an algorithmic trader, you should develop strong programming skills in languages like Python or C++, gain knowledge of financial markets and trading strategies, and learn to use trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and many traders pursue certifications such as the Chartered Market Technician (CMT) or Financial Risk Manager (FRM). Experience with backtesting and risk management is also important for success in this field.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills, data analysis, and financial knowledge. It can be lucrative and in demand in financial firms, but it requires strong technical expertise, continuous learning, and understanding of market regulations. Success in this field depends on technical proficiency, risk management, and staying updated with market trends.

Who is the richest Algo trader in the world?

Algorithmic trading is a specialized finance role involving the use of algorithms and programming skills to execute trades. While individual net worth is often private, some of the most successful algorithmic traders and quant hedge fund managers, such as Jim Simons, have accumulated significant wealth through quantitative strategies and advanced data analysis. These professionals typically work in high-frequency trading firms or hedge funds and require strong mathematical, programming, and financial skills.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative 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-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

Can I make money with algorithmic trading?

Algorithmic trading professionals develop and implement automated trading strategies that can generate profits if the algorithms are well-designed and market conditions are favorable. Success depends on skills in programming, data analysis, and risk management, and consistent profitability is not guaranteed. Many traders experience both gains and losses, and ongoing testing and optimization are essential for potential profitability.

What are the key skills and qualifications needed to thrive as an Algorithmic Trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.
What are popular job titles related to Algorithmic Trading jobs in Quebec? For Algorithmic Trading jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading jobs in Quebec look for? The top searched job categories for Algorithmic Trading jobs in Quebec are:
Infographic showing various Algorithmic Trading job openings in Quebec as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 11% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Algorithmic Trading Developer

Fed IT

Montreal, QC

Full-time

Posted 16 days ago


Job description

My name is Charles Quinones, Recruitment Consultant at FED IT, a recruitment firm specialized in permanent and contract IT opportunities.
I am currently working with a growing organization operating in data analytics sector, seeking an Algorithmic Trading Developer to help design and scale automated trading systems that transform market data into actionable decisions. Based on the provided job description

Mission

Your Role
As part of a highly skilled and agile technical team, you will contribute to the development of automated trading platforms and data-driven decision systems used in North American energy markets.
Key responsibilities include:
Designing, backtesting, and deploying systematic trading strategies.
Building and maintaining the software layer connecting market data to trading decisions.
Developing real-time monitoring tools and strategy performance dashboards.
Working closely with quantitative researchers, data specialists, and software developers throughout the entire strategy lifecycle.
Participating in strategy review, optimization, and continuous improvement initiatives.
Supporting production deployment and the ongoing evolution of data infrastructure.

Your profile

Your Profile
3-6 years of experience building automated or systematic trading solutions.
Demonstrated success delivering production-ready systems capable of generating automated business or trading decisions.
Degree in Computer Science, Mathematics, Quantitative Finance, or a related discipline.
Strong programming skills in Python, including data processing, backtesting frameworks, and production environments.
Experience working with SQL and relational databases.
Solid quantitative background in statistics, optimization, and signal processing.
Professional proficiency in both French and English.
Nice-to-Have
Knowledge of ISO market structures such as IESO, NYISO, MISO, and PJM.
Exposure to AWS cloud environments and data engineering initiatives.
Understanding of risk management systems and trading controls.
Machine learning experience related to forecasting or time-series analytics.
Working Conditions
Competitive compensation package.
Profit-sharing program tied to company performance.
Direct ownership and visibility over solutions deployed in production.
Collaborative, high-caliber technical environment with minimal bureaucracy.
Comprehensive group insurance plan.
Team-building activities and corporate events.
Modern downtown Montreal office location.
Why is French required?
In this role, the successful candidate will regularly interact with internal and external stakeholders, while using tools, platforms, and operational documentation available in both official languages. The position also involves collaborating with Quebec-based teams and business partners whose primary working language is French. Professional proficiency in French is therefore required to ensure effective communication, facilitate day-to-day collaboration, and adequately support business operations.