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Algorithmic Trading Jobs in Quebec (NOW HIRING)

Morgan Stanley

C++ Developer (Hybrid)

Montreal, QC · Hybrid

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 ...

Morgan Stanley

C++ Developer (Hybrid)

Montreal, QC · Hybrid

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 ...

Societe Generale

Programmer Analyst

Montreal, QC · On-site

Your position revolves around developing a strategic trading tool for trade capture and regulatory ... Algorithmic skills. Nice-to-have: * Knowledge of messaging technologies (nats.io, RabbitMQ ...

Societe Generale

Programmer Analyst

Montreal, QC · On-site

Your position revolves around developing a strategic trading tool for trade capture and regulatory ... 7. Algorithmic skills Nice-to-have: Knowledge in messaging technologies (nats.io, RabbitMQ ...

Societe Generale

Programmer Analyst

Montreal, QC · On-site

Your position revolves around developing a strategic trading tool for trade capture and regulatory ... 7. Algorithmic skills Nice-to-have: Knowledge in messaging technologies (nats.io, RabbitMQ ...

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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.

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 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 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.

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.

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Algorithmic Trading jobs near you
Infographic showing various Algorithmic Trading job openings in Quebec as of September 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.

Intern Software Developer - Montreal - 2027

Montreal, QC • On-site

Squarepoint Capital
Finance and Insurance • 1 - 5K employees
Learn more about Squarepoint Capitalexternal

Internship

Posted 25 days ago

Job description

This internship is based in Montreal and is available in any season. Please indicate your preferred season in the application questions. 

The minimum length of the Internship must be 12 weeks. 

Squarepoint sits at the intersection of finance, mathematics, and technology. From petabyte-scale data platforms to ultra-low-latency trading systems, we build the infrastructure that powers systematic investing across every major asset class and market worldwide. 

We are looking for highly motivated students with a deep passion for technology and software development to join our Software Developer Internship program. As a participant in the internship program, you will work closely with experienced engineers to develop and deliver custom software solutions that solve complex problems. During your time with us, you will work in collaboration with your mentors on a project that has a visible impact on the business.  

We have internship opportunities across various teams including; Data Engineering, Risk, Market Data, Quant Development, Frontend and many more... 

Position Overview: 

  • A fast-paced training program to give you an introduction to all technical facets of software development in the algorithmic trading industry 
  • The software you build and the projects you work on will be leveraged to support active and ongoing trading with the markets  
  • Independent programming projects in Python or C++  
  • Intern social events to let you network with other Squarepoint employees and explore the city where you're spending your internship 

Required Qualifications: 

  • Pursuing a degree in Computer Science, Computer/Electrical Engineering, Mathematics or equivalent 
  • Candidates must be in penultimate year of study 
  • Knowledge of one or more of the following programming languages: Python, C++, Java, Rust, C 
  • Knowledge of Unix systems 
  • A deep passion for technology 
  • Exceptional problem-solving skills and strong communication skills 

Apply