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Quantitative Trader Jobs in Quebec (NOW HIRING)

Ability to analyze and evaluate counterparty risk and financial condition utilizing quantitative ... Knowledge of capital markets/traded products and committed financing facilities. PRIOR WORK ...

... financial condition utilizing quantitative and qualitative data. TECHNICAL SKILLS Strong ... traded products and committed financing facilities. PRIOR WORK EXPERIENCE 8-10 years as credit ...

... as trade names, trademarks, licenses, and technology. * Direct the implementation of transfer ... Understanding of quantitative methods and ability to interpret results in a qualitative manner

Balance the operational trade-offs between urgent, short-term business requests (e.g., ad-hoc ... Bachelor's degree in a technical or quantitative field (e.g., Computer Science, Data Science ...

Showing results 41-60

Quantitative Trader information

See Quebec salary details

$23.5K

$115.3K

$205K

How much do quantitative trader jobs pay per year?

As of Aug 10, 2026, the average yearly pay for quantitative trader in Quebec is $115,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $138,500.00 per year, depending on experience, location, and employer.

What does a quantitative trader do?

A quantitative trader develops and implements trading strategies using mathematical models, statistical analysis, and programming skills. They analyze large data sets to identify trading opportunities and often use tools like Python, R, or MATLAB to automate trades and manage risk in financial markets.

What is a quantitative trader?

A Quantitative Trader is a finance professional who uses mathematical models, statistical analysis, and algorithmic strategies to identify and execute trading opportunities. They work with large datasets to develop automated trading strategies that capitalize on market inefficiencies. Quantitative Traders often collaborate with developers and researchers to optimize their models and reduce risk. Positions are typically found at hedge funds, proprietary trading firms, and investment banks. Strong programming, analytical, and risk management skills are essential for success in this role.

What are some common challenges quantitative traders face in their day-to-day work?

Quantitative Traders often encounter rapidly changing market conditions that require swift analytical decisions and the ability to adjust strategies on short notice. They work with large sets of financial data, which demands both technical expertise to interpret trends and creativity to develop effective trading algorithms. Collaboration with developers, researchers, and other traders is frequent to refine models and address technological or strategic challenges. Adapting to evolving regulatory requirements and managing risk exposure are also key parts of the role. Successfully navigating these challenges is essential for maximizing trading performance and maintaining a competitive edge.

What are the key skills and qualifications needed to thrive as a quantitative trader?

To thrive as a Quantitative Trader, you need strong mathematical, analytical, and programming skills, typically supported by a degree in mathematics, finance, engineering, or computer science. Expertise with statistical software, programming languages such as Python or C++, and familiarity with automated trading systems or financial modeling tools is highly valuable. Exceptional problem-solving ability, attention to detail, and quick decision-making are crucial soft skills in this fast-paced role. These competencies enable traders to develop data-driven strategies, manage risk effectively, and adapt rapidly to market changes for consistent profitability.

What are popular job titles related to Quantitative Trader jobs in Quebec? For Quantitative Trader jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Quantitative Trader jobs in Quebec look for? The top searched job categories for Quantitative Trader jobs in Quebec are:
Infographic showing various Quantitative Trader job openings in Quebec as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $115,277 per year, or $55.4 per hour.

Data Scientist, Model validation

Desjardins Group

Montreal, QC โ€ข Hybrid

Full-time

Medical, Retirement, PTO

Posted 26 days ago


Job description

Desjardins Group uses a wide range of data-driven quantitative models to support its product and service offer and to effectively manage risk, with the goal of always doing what's best for members and clients. While these models provide indisputable decision-making support, their use leads to further risks that must in turn be analyzed, assessed and mitigated. As a data scientist, model validation, you help ensure that data is appropriately valued at each stage of the model's life cycle. You help make business decisions, develop solutions and services tailored to business issues and interpret member/client behaviour. In this respect, you check that the validation programs in place are properly applied to ensure that the models comply with all quality criteria used by Desjardins Group. You make recommendations on the development and use of models with a high degree of operational and conceptual complexity, using your analytical skills and comprehensive, in-depth understanding of your line of business and the organization. The primary focus will be on models used in market risk, interest rate risk and liquidity risk management.More specifically, you will be required to :

  • Ensure that modelling processes make appropriate use of available data based on characterization, quality and processing as part of strategic initiatives
  • Ensure that predictive modelling is carried out according to the required standards and that Desjardins Group's quality criteria are met through the validation process
  • Analyze the business needs behind the model and confirm the model's suitability through validation
  • Ensure that the programming required to prepare and mine data, and to develop, evaluate, support, roll out and manage highly conceptually complex and innovative models meets the required standards
  • Use advanced and innovative statistical, machine learning and artificial intelligence methods to test the methodologies proposed by the first line of defence
  • Help draft guidelines and methods and shape methodological and technological choices Advise and train teams on quantitative model validation methods and update them to improve delivery speed
  • Identify opportunities to optimize rules and systems, anticipate underlying impacts of changes and help develop data management and modelling support tools
  • Represent teams with various internal interested parties
  • Monitor the industry to understand and anticipate trends in your field of expertise in model validation, with a view to developing and updating practices that are contextually appropriate for the organization.


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

*Benefits apply based on eligibility criteria.

#LI-Hybrid


What you bring to the table

  • Bachelor's degree in a related field
  • A minimum of six years of relevant experience
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Knowledge of French is required
  • Expertise in mathematical modelling and statistics
  • Proficiency in risk management models in at least one of the following areas:
    • Market risk: Pricing models (BSM, Heston, Hull-White, GSR, G2) for options, bonds, caps, swaps, swaptions and credit products, as well as VaR and SVaR models, economic capital calculations and stress testing using RiskMetrics and Python
    • Interest rate risk: Risk-weighted Net Interest Income (NII), gap analysis, modified and effective duration, convexity analysis and Economic Value of Equity (EVE)
    • Liquidity risk: Prepayment models, Liquidity Coverage Ratio (LCR), Net Cumulative Cash Flow (NCCF), economic capital calculations and stress testing using QRM and Python
  • Knowledge of the banking industry
  • Knowledge of Basel regulations
  • Knowledge of programming: C++, SQL, Python, MATLAB, VB, SAS
Complexity, Innovation, Interpersonal Savvy

Trade Union (If applicable)

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!

Job Family

Data (FG)

Unposting Date

2026-08-4