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Quantitative Analyst Jobs in Quebec (NOW HIRING)

Quantitative Analysis & Modeling: Apply advanced data science and quantitative techniques for the in-depth analysis of equities, fixed income, derivatives, and structured products. * Continuous ...

New

You have a passion for quantitative analysis, understanding player behavior and will have the ability to draw business insights * Proven experience working with front-end development frameworks

Ability to analyze and evaluate counterparty risk and financial condition utilizing quantitative and qualitative data. TECHNICAL SKILLS * Strong understanding of finance and accounting principles;

Strong analytical, quantitative, and problem-solving skills * Advanced Excel skills (pivot tables, modeling, graphing) * Experience with SQL, PowerPoint, and data visualization techniques preferred

Analyze and assess counterparty risk and financial condition utilizing quantitative and qualitative data. * Complete work with minimal or no supervision * Possess a high degree of enthusiasm and ...

Analyze and assess counterparty risk and financial condition utilizing quantitative and qualitative data. * Complete work with minimal or no supervision * Possess a high degree of enthusiasm and ...

Proficiency in quantitative modeling of interest rates, inflation, foreign exchange rates, equities ... Strong analytic, problem-solving, communication, and documentation skills. * Knowledge in financial ...

Analytics, Consulting, Finance and/or other quantitative experience. * Demonstrated effective communication skills that include communication of client opportunities and explanation of financial ...

Analytics, Consulting, Finance and/or other quantitative experience. * Demonstrated effective communication skills that include communication of client opportunities and explanation of financial ...

Showing results 21-40

Quantitative Analyst information

See Quebec salary details

$47.5K

$121.2K

$201.5K

How much do quantitative analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for quantitative analyst in Quebec is $121,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $150,500.00 per year, depending on experience, location, and employer.

What is a quantitative analyst?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

What does a quantitative analyst do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

What are the key skills and qualifications needed to thrive as a quantitative analyst, and why are they important?

To thrive as a Quantitative Analyst, you need a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

How does a quantitative analyst typically collaborate with other departments within a financial organization?

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

What is the starting salary of a quantitative analyst?

The starting salary for a quantitative analyst typically ranges from $60,000 to $90,000 annually, depending on factors such as location, education, and industry. Entry-level roles often require strong skills in mathematics, programming, and data analysis tools like Python or R.

What are the most commonly searched types of Quantitative Analyst jobs in Quebec?

The most popular types of Quantitative Analyst jobs in Quebec are:

What are popular job titles related to Quantitative Analyst jobs in Quebec?

For Quantitative Analyst jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Quantitative Analyst jobs in Quebec look for?

The top searched job categories for Quantitative Analyst jobs in Quebec are:

What are popular job titles related to Quantitative Analyst jobs in QC?

For Quantitative Analyst jobs in QC, the most frequently searched job titles are:

Infographic showing various Quantitative Analyst job openings in Quebec as of September 2026, with employment types broken down into 4% Internship, 76% Full Time, 8% Part Time, and 12% Contract. Highlights an 68% In-person, 24% Hybrid, and 8% Remote job distribution, with an average salary of $121,241 per year, or $58.3 per hour.

Senior Analyst, Risk Data Scientist

On-site

TMX Group
1 - 5K employees

Other

Posted 3 days ago

New


Job description

Key Responsibilities

  • Core Risk Libraries & UAT: Design, develop, and maintain the foundational Python libraries containing core financial logic and mathematical models. Package and publish these libraries to our central artifact repository. Develop the UAT tools and frameworks necessary to validate third-party integrations against strict risk logic before they go live.

  • Calculation Applications: Consume core libraries to architect and build robust, scalable risk calculation applications. Ensure these applications efficiently process complex models and write high-quality analytical outputs to our databases for downstream reporting.

  • Quantitative Analysis & Modeling: Apply advanced data science and quantitative techniques for the in-depth analysis of equities, fixed income, derivatives, and structured products.

  • Continuous Improvement & Automation: Collaborate with the Analytics Infrastructure owner to containerize applications, optimize computational performance, and adhere to CI/CD best practices.

  • Documentation: Create and maintain comprehensive application documentation, solution diagrams, and mathematical flowcharts.


Skills and Experience

  • Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a Master’s degree in Financial Engineering (or a related field with a strong focus on finance and data science).

  • Experience: 3–5 years of hybrid experience bridging finance and programming; proven application of data science techniques in financial risk management.

  • Technical Skills: Advanced proficiency in Python (including OOP, Pandas, NumPy, and scientific computing libraries). Strong knowledge of SQL and database querying. Experience with code versioning (Git) and software development lifecycles.

  • Problem Solving: Strong time management, analytical skills, and the ability to prioritize complex technical projects in a high-pressure environment.


Nice to Have

  • Certifications: FRM, PRM, or progression within the CFA program.

  • Tools & Architecture: Familiarity with LaTeX for mathematical documentation, Atlassian product suite (Jira, Confluence), and basic knowledge of containerization (Docker) or artifact management (Nexus).

  • Data Visualization: Familiarity with Business Intelligence tools (e.g., Tableau).


In the market for…

  • Excitement – Explore emerging technology and innovation, as well as ventures and digital finance that shape the future of global markets! Experience the movement of the market while grounded in the stability of close to 200 years of success.

  • Connection – With site hubs in some of the world’s most multicultural cities, we leverage our size and structure to create rich connections and belonging while experiencing powerful global impact through our work.

  • Impact – More than a platform, we use our talents to power mission-critical systems that drive global economic advancement, innovation, and growth. As well, our employee-led Team Impact spreads social good via our giving strategy.

  • Wellness – From empathetic leadership to a culture of flexibility and balance, we believe wellness at work creates the maximum yield and a stronger “we”. Plus, with a cloud-first and hybrid workstyle, as well as generous time-off and leaves, we support a life well lived!

  • Growth – From a growth mindset in our work, to expansion in our business, TMX is home to action-takers energized by the achievement of ambitious growth.


Our Culture

The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations enhancing capital markets. United as a global team, we’re connecting cross-functionally, traversing industries and geographies, moving opportunity into action, advancing global economic growth, and propelling progress. Through a rich exchange of ideas, meaningful collaboration, and a nimble operating model, we’re powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product ingenuity to consumers, and career exploration to our team. Ready to be part of the action?


Job Location

Hybrid (2-3 days in office) – based in Montreal, QC.


Position Summary

TMX’s Post Trade Risk Management team manages financial risks for The Canadian Depository for Securities Limited (CDS) and The Canadian Derivatives Clearing Corporation (CDCC), developing and maintaining robust procedures, models, systems, and reporting aligned with TMX policies, TMX risk appetite, and PFMIs. Reporting to the Senior Manager, Risk Integration, this role sits at the intersection of quantitative finance and software engineering. You will be a driving force behind our Core Risk Libraries and Calculation Applications. Your mandate is to design the foundational financial mathematics, package them into shared Python libraries, and build the robust calculation applications that process raw transactional data into actionable risk metrics. Collaborating closely with our Infrastructure and Reporting pillars, you will ensure our mathematical models are scalable, accurate, and seamlessly integrated into production.


Equal Opportunity / Diversity

TMX is committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate. We provide accommodations for applicants and employees who require it.


Our company is not currently sponsoring work permit applications and the applicant must be authorized to work in the country where this position is located.


TMX Group Overview

TMX Group operates global markets, and builds digital communities and analytic solutions that facilitate the funding, growth and success of businesses, traders and investors. TMX Group’s key operations include Toronto Stock Exchange, TSX Venture Exchange, TSX Alpha Exchange, The Canadian Depository for Securities, Montréal Exchange, Canadian Derivatives Clearing Corporation Trayport and VettaFi, which provide listing markets, trading markets, clearing facilities, depository services, technology solutions, data products and other services to the global financial community. TMX Group is headquartered in Toronto and operates offices across North America (Montréal, Calgary, Vancouver and New York), as well as in key international markets including London, Singapore and Vienna.

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