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Algorithmic Trading Jobs in Quebec (NOW HIRING)

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 ...

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 ...

$150 - $185/hr

... of algorithms, data structures, and systems design. * Expert-level proficiency in TypeScript, Node.js, React.js, and React Native. * Strong communication skills: able to clearly discuss trade-offs ...

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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.
Consultant Conversion - Technology Financial Coordinator (Hybrid)

Consultant Conversion - Technology Financial Coordinator (Hybrid)

Jewish Family Service of Colorado

Montreal, QC • Hybrid

Full-time

Posted 25 days ago


Job description

We're seeking someone to join our team as a Technology Financial Coordinator to coordinate, provide status and execute transactions for all phases of the funding and approval process for capital requests in Investment Management Technology and Operations.

The Capital Expense Management Team in partnership with thevertical Business Managers is responsible for the end-to-end lifecycle management of Funding Request and Wallets. We are looking for a specialist for our COO Organization in all matters of business management relevant to technology-related financials, portfolio management and project/administrative management.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Technology Administration Office II position at Associate level, which is part of the job family responsible for managing administrative tasks related to technology infrastructure and services, ensuring smooth operations and support for the organization's technological needs.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on...

What you'll do in the role:

  • Support Financial management, control and analysis of respective business managers

  • Provide Financial analysis and spend management for Funding Requests (FR)

  • Initiate Financial management oversight and co-ordination of capital provisioning

  • Gather documentation, analysis, budget confirmation in collaboration with Project Managers, Sourcing Managers, Business Managers and IT Finance to handle FR execution and approval for Consulting, Software and Telecommunication services

  • Reconcile project related financials across the project portfolio including derivation of rates, monitoring actuals vs budget and determining project related corrective action where necessary

  • Execute monthly accrual analysis on regular and aging items, provide invoice approvals where necessary

  • Provide support to department managers for communication of technology agenda

  • Carry out tasks related to the job in accordance with the instructions of the supervisor

  • Improve current processes around Financial analysis and tracking tasks

What you'll bring to the role:

  • 3+ Years working experience in a similar position in financial services

  • Excellent working knowledge of MS Office, Excel and PowerPoint

  • Strong analytical skills

  • Strong communication / interpersonal skills to be able to interact at all levels & be effective as part of a broader team of business managers

  • Accuracy and attention to details

  • Be available to answer questions and queries from local and remote team members and users in a timely fashion

  • Organizational skills - work with a vast array of information from solicitation to analysis and to cope with rapidly changing information

  • Ability to manage multiple tasks as well as multiple clients, occasionally under pressure

  • Be a team player and have the ability to work individually

  • Escalate issues and risks to the supervisor in a timely fashion

  • Be able to effectively and actively ensure upward, downward peer communication of information and issues and risks

  • Understand and adhere to the organization's values

  • Experience in working in financial services / project management / technology is a plus

  • Project management or Reporting background is a plus

  • Experience with AI and/or automating manual processes is a plus

What we offer:

  • To work with some of the best professionals in the business - for a firm that values individual intellect as much as teamwork

  • State-of-the-art offices in the City Centre that are designed to maximize collaboration

  • Flexible working arrangements (core hours and opportunity to work from home)

  • Enriching challenges that provide opportunity for constant learning and advancement

  • An environment which is leveraging technology to its highest potential

At Morgan Stanley Montreal, we support the Firm's global businesses and infrastructure with cutting edge technology and innovation. 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 engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area's highly skilled technology talent. There's ample opportunity to move across the businesses for those who show passion and grit in their work.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required.

Build a career with impact. Visit morganstanley.com for more information.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.