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Python Finance Jobs in Montreal, QC (NOW HIRING)

Contract About the Role We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role focuses on building and implementing ...

Knowledge of Python is a strong asset * High level of attention to detail and strong motivation * Good knowledge of financial instruments * French and English required * Ability to communicate ...

Knowledge of Python is a strong asset * High level of attention to detail and strong motivation * Good knowledge of financial instruments * French and English required * Ability to communicate ...

... and Python, and deploy ML models (XGBoost, LightGBM) into live risk systems. The role reports ... Define the rules, don't just follow them -- Lead end-to-end financial risk strategies, from ...

... and Python, and deploy ML models (XGBoost, LightGBM) into live risk systems. The role reports ... Define the rules, don't just follow them -- Lead end-to-end financial risk strategies, from ...

Actuarial Analyst

Laval, QC · Hybrid

  • Life

  • Retirement

... financial forecasting, using standard actuarial principles. * Technological Innovation: Design and enhance reports using various programs (SAS, R, Python, SQL, VBA, Excel, and Access) to optimize our ...

Actuarial Analyst

Montreal, QC · Hybrid

  • Life

  • Retirement

... financial forecasting, using standard actuarial principles. * Technological Innovation: Design and enhance reports using various programs (SAS, R, Python, SQL, VBA, Excel, and Access) to optimize our ...

Showing results 41-60

Python Finance information

See Montreal, QC salary details

$26.9K

$108.1K

$186K

How much do python finance jobs pay per year?

As of Aug 14, 2026, the average yearly pay for python finance in Montreal, QC is $108,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,298.00 and $140,104.00 per year, depending on experience, location, and employer.

What is the difference between Python Finance vs Quantitative Analyst?

AspectPython FinanceQuantitative Analyst
Required CredentialsProficiency in Python, finance knowledge, possibly some certificationsAdvanced degrees (e.g., MSc, PhD), quantitative skills, certifications like CFA
Work EnvironmentFinancial firms, tech companies, trading firmsInvestment banks, hedge funds, asset management
Industry UsageData analysis, algorithmic trading, risk modelingModel development, risk assessment, trading strategies

Python Finance professionals focus on coding and data analysis within financial contexts, often requiring programming skills and finance knowledge. Quantitative Analysts typically have advanced degrees and focus on developing complex models for trading and risk management. While both roles work in finance, Python Finance emphasizes programming, whereas Quantitative Analysts emphasize mathematical modeling.

What are the key skills and qualifications needed to thrive as a Python Finance professional, and why are they important?

Success in Python Finance requires strong programming skills in Python, a solid grasp of financial concepts, and often a degree in finance, mathematics, or computer science. Familiarity with technical tools like pandas, NumPy, SQL databases, and financial modeling libraries is typically expected, as well as experience with version control and sometimes certifications like CFA or FRM. Analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for efficiently analyzing financial data, automating processes, and delivering insights that drive smart financial decision-making.

How do Python Finance professionals typically collaborate with other departments within a financial organization?

Python Finance professionals often work closely with teams such as data analytics, risk management, trading, and IT. Collaboration usually involves developing or maintaining automated financial models, integrating data pipelines, and supporting real-time analytics. Clear communication is essential, as you may need to translate complex technical concepts into actionable insights for non-technical stakeholders. This cross-functional teamwork not only enhances project outcomes but also provides opportunities to broaden your understanding of the business and financial processes.

What is a Python Finance professional?

A Python Finance professional is someone who uses the Python programming language to analyze financial data, build financial models, automate trading systems, and perform quantitative analysis. These professionals often work in roles such as quantitative analysts, data scientists, or software developers within finance-related industries. They leverage Python’s powerful libraries like Pandas, NumPy, and scikit-learn to handle large datasets and perform complex financial computations. Their work helps financial institutions make data-driven decisions, improve efficiency, and gain insights into market trends.

What job categories do people searching Python Finance jobs in Montreal, QC look for?

The top searched job categories for Python Finance jobs in Montreal, QC are:

Infographic showing various Python Finance job openings in Montreal, QC as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $108,073 per year, or $52 per hour.

Quantative Developer

Jay Analytix

Montreal, QC • Hybrid

Contractor

Re-posted 28 days ago


Job description

Quantitative Developer

Location: Montreal, Quebec, Canada - Hybrid Employment Type: Contract

About the Role

We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role focuses on building and implementing financial models, analytics, and pricing systems used by trading and risk teams. You will work at the intersection of finance and technology, translating sophisticated quantitative models into robust, production-quality code that directly supports trading and risk management decisions.

The ideal candidate brings deep capital markets domain knowledge, strong engineering discipline, and the ability to collaborate closely with quants and traders in a fast-paced, hybrid environment.

Key Responsibilities
  • Develop and implement pricing and risk models for derivative products.
  • Translate quantitative models (e.g., Black-Scholes) into production-quality Python code.
  • Build libraries and tools for portfolio analytics, valuation, and risk measurement.
  • Work closely with quants and traders to refine models and strategies.
  • Perform backtesting and simulation of trading strategies.
  • Validate financial models and ensure the accuracy of calculations.
  • Contribute to the ongoing improvement of analytics infrastructure and code quality.
Required Skills

Quantitative & Finance (Core Focus)

  • Minimum 7 years of experience in a quantitative development or related role.
  • Capital markets domain experience is mandatory.
  • Strong understanding of derivatives, fixed income, and capital markets.
  • Solid grounding in probability, stochastic processes, and statistics.
  • Hands-on experience with pricing models, risk metrics, and financial data.

Technical

  • Advanced Python, including NumPy, Pandas, and SciPy.
  • Strong experience with data analysis and numerical computing.
  • Familiarity with SQL and data handling.
Nice to Have
  • Exposure to C++ for performance optimization.
  • Experience working with quantitative research or trading desks.
  • Familiarity with model validation practices and regulatory expectations.
What We Offer
  • A hybrid work arrangement across major financial hubs in Canada and the USA.
  • The opportunity to work on high-impact pricing and risk systems used by trading and risk teams.
  • A collaborative environment that bridges quantitative finance and software engineering.
How to Apply

Qualified candidates are encouraged to submit a resume outlining relevant experience, including capital markets domain expertise and quantitative development work. We thank all applicants for their interest; only those selected for an interview will be contacted.

Employment Type: CONTRACTOR