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Python Quant Jobs in Montreal, QC (NOW HIRING)

Proficient in Python, PySpark, SQL, Power BI, and Databricks (or similar platforms) for data ... A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g ...

... quantitative discipline. * Experience designing and maintaining modern data architectures and large-scale data pipelines. * Advanced SQL skills and strong proficiency in Python or another relevant ...

... quantitative discipline. * Experience designing and maintaining modern data architectures and large-scale data pipelines. * Advanced SQL skills and strong proficiency in Python or another relevant ...

... quantitative discipline. * Experience designing and maintaining modern data architectures and large-scale data pipelines. * Advanced SQL skills and strong proficiency in Python or another relevant ...

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Python Quant information

See Montreal, QC salary details

$50.4K

$163.3K

$225.9K

How much do python quant jobs pay per year?

As of Jul 22, 2026, the average yearly pay for python quant in Montreal, QC is $163,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,132.00 and $191,459.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Python Quants in the financial industry?

Python Quants often face challenges related to sourcing, cleaning, and managing large sets of complex financial data, as well as ensuring their models remain robust under rapidly-changing market conditions. Navigating tight deadlines while maintaining code quality and accuracy is a common aspect of the job. Additionally, the need to explain complex quantitative concepts to non-technical stakeholders, such as portfolio managers or traders, requires strong communication skills. Overcoming these challenges helps Python Quants deliver real, actionable insights and contribute effectively to investment strategies.

What are the key skills and qualifications needed to thrive in the Python Quant position, and why are they important?

To thrive as a Python Quant, you need strong quantitative skills, proficiency in Python programming, and a solid foundation in mathematics, statistics, or financial engineering, typically supported by an advanced degree. Familiarity with scientific computing libraries (e.g., NumPy, pandas, SciPy), version control systems like Git, and experience with financial data platforms are essential. Analytical thinking, attention to detail, and effective communication enable collaboration with traders and researchers. These skills and tools are crucial for developing, testing, and implementing robust quantitative models in dynamic financial environments.

What is a Python Quant job?

A Python Quant (Quantitative Analyst) job involves using Python to analyze financial data, develop trading algorithms, and build risk models. Python Quants work in hedge funds, investment banks, or proprietary trading firms, leveraging data science, machine learning, and statistical techniques. They write and optimize code for backtesting strategies, automating trades, and processing large datasets. Strong programming, mathematical, and financial knowledge are essential for success in this role.

What job categories do people searching Python Quant jobs in Montreal, QC look for? The top searched job categories for Python Quant jobs in Montreal, QC are:
Infographic showing various Python Quant job openings in Montreal, QC as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $163,331 per year, or $78.5 per hour.

Data Scientist, Model Validation

Desjardins Group

Montreal, QC • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 7 days ago


Job description

Desjardins Group uses a large number of data-driven quantitative models to support its product and service offer and to properly manage its risks, 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. You serve as a specialist advisor and subject matter specialist and assist the expert advisor in their role as a resource person for senior management and decision-making bodies. You interact with many interested parties who work in a wide range of fields and in model governance. 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 and telework equipment

* Benefits apply based on eligibility criteria.


What you bring to the table


  • Bachelor's degree in a related field
  • A minimum of four years of relevant experience,
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Knowledge of French is required
  • Intermediate knowledge of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
  • Proficiency in risk management models in at least one of the following areas:
    • Credit: Scoring models, shadow ratings, IFRS 9 and regulatory parameters (PD, LGD, EAD, SICR, ECL, for example), including economic capital calculation and stress testing using SAS, Python, MATLAB and RiskFrontier
    • Liquidity: Pre-payment models, LCR, NCCF including economic capital calculation and stress testing using QRM and Python
  • Knowledge of mathematical modelling and statistics
  • Knowledge of programming: C++, SQL, Python, MATLAB, VB, SAS
  • Knowledge of the banking industry
  • Knowledge of Basel regulations
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