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Algorithmic Trading Jobs in Quebec (NOW HIRING)

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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.

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 August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.

Senior Data Scientist, Finance Function

Desjardins Group

Levis, QC • Hybrid

Full-time

Medical, Retirement, PTO

Posted 14 days ago


Job description

As a Senior Data Scientist dedicated to the Finance function, you are the technical driving force behind the function's innovation efforts. You work directly with business teams to transform pain points and opportunities into concrete solutions by leveraging artificial intelligence, advanced analytics, and automation. Your strength lies in building quickly and proving value. You design proofs of concept, pilots and MVPs that support quick decisions: what works is prepared for broader deployment, and what doesn't work yields actionable lessons. You also act as an AI advisor to the Finance community, working closely with the innovation advisor. More specifically, you will be required to:

  • Identify and qualify, with stakeholders, use cases with high potential for the application of AI, advanced analytics, and automation within the Finance function.
  • Assess the technical feasibility, business value, and adoption potential of the proposed solutions to prioritize the most promising initiatives.
  • Quickly design and develop proofs of concept, pilots, and MVPs to validate or reject a hypothesis within a few weeks.
  • Develop models, algorithms, and AI agents that meet the specific business needs of the Finance teams.
  • Explore, test and compare new AI technologies to inform the Finance function's technology choices.
  • Analyze financial and operational data to highlight trends, risks, and opportunities for optimization.
  • Support Finance teams in experimenting with and adopting solutions, and act as the AI resource for the community.
  • Ensure the responsible, secure and compliant use of data and AI solutions, in alignment with the organization's guidelines.
  • Prepare solutions that have demonstrated their value for production, in collaboration with the relevant technology teams.

What we offer*

  • Competitive salary and annual bonus
  • 4 weeks of flexible vacation starting in the first year
  • Defined benefit pension plan that provides predictable, stable income throughout retirement
  • Group insurance including telemedicine
  • Reimbursement of health and wellness expenses and telework equipment

* Benefits apply based on eligibility criteria.

#LI-Hybrid


What you bring to the table

  • Bachelor's degree in statistics, mathematics, computer science, artificial intelligence, machine learning or a related field
  • A minimum of six years of relevant experience related to data science
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Hands-on experience in delivering proofs of concept or experimental projects conducted in short cycles, from business need to demonstration of value
  • Experience designing models, data products and artificial intelligence solutions, including generative AI or AI agents
  • Demonstrated experience explaining complex technical concepts and influencing decision-making among non-technical stakeholders
  • Knowledge of French is required
  • Proficiency in Python and key data processing and analysis libraries, as well as SQL
  • Knowledge of the Finance function (accounting, financial control, financial planning and analysis) or work experience acquired in support of these areas
  • Knowledge of financial processes, data and terminology to quickly identify high-value opportunities for applying artificial intelligence
  • Proficiency in analyzing and structuring ambiguous or poorly defined business problems in order to identify concrete courses of action
Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning


Equity, Diversity, Inclusion and Accessibility

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Trade Union (If applicable)

Job Family

Data (FG)

Unposting Date

2026-08-31