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Python Finance Jobs in Montreal, QC (NOW HIRING)

Jay Analytix

Python Developer + Pricing

Montreal, QC · On-site

Develop and maintain pricing libraries for financial instruments such as Derivative (finance), bonds, and structured products * Implement pricing models (e.g., Black-Scholes Model) using Python

Apply Early

Levio

Python Developer

Montreal, QC · Hybrid

Design, develop and optimize Backend services in Python, primarily to automate and modernize financial forecasting processes ; * Contribute to the evolution of distributed architectures and data ...

United Airlines

Python+ DB Developer

Montreal, QC · On-site

Strong knowledge of Python with experience developing production-grade data processing pipelines ... Finance data domain knowledge is preferred Qualifications: * Bachelor's or Master's Degree The base ...

Synechron

Java/Python DB Developer

Montreal, QC · On-site

... services financiers et de technologie renommees. Grace a des initiatives de recherche et ... NousrecherchonsunDeveloppeurJava/Python/BasedeDonneesexperimente,avec5a7ansd'experience ...

National Bank

Corporate Finance Intern

Montreal, QC · On-site

An internship in Corporate Finance at National Bank means contributing to financial analysis ... Python, SQL or VBA. * Ability to synthesize large amounts of information and develop innovative ...

National Bank

Corporate Finance Intern

Montreal, QC · On-site +1

An internship in Corporate Finance at National Bank means contributing to financial analysis ... Python, SQL or VBA. Ability to synthesize large amounts of information and develop innovative ...

National Bank

Corporate Finance Intern

Montreal, QC · On-site +1

An internship in Corporate Finance at National Bank means contributing to financial analysis ... Python, SQL or VBA. * Ability to synthesize large amounts of information and develop innovative ...

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Showing results 1-20

All JobsPython Finance JobsPython Finance Jobs in Montreal, QC

Python Finance information

See Montreal, QC salary details

$26.9K

$108.1K

$186K

How much do python finance jobs pay per year?

As of Jul 4, 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.

Is Python enough to get a finance job?

Python is a valuable skill for finance jobs such as quantitative analyst, data analyst, or financial engineer, as it is widely used for data analysis, modeling, and automation. However, employers often look for additional skills like finance knowledge, statistical understanding, and experience with tools such as Excel, SQL, or financial modeling. Combining Python with domain expertise and other technical skills increases job prospects in finance roles.

What finance jobs use Python?

Finance jobs that use Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often require skills in data analysis, modeling, and automation, with Python being used for tasks such as data processing, backtesting strategies, and building financial models.

Is Python a high paying job?

Python roles in finance, such as quantitative analysts or financial software developers, tend to offer high salaries due to the demand for programming skills and financial knowledge. Compensation varies based on experience, location, and industry, but Python expertise is generally associated with well-paying positions in finance and data analysis. Certifications and proficiency with related tools like pandas or NumPy can also enhance earning potential.

Is Python useful in finance?

Python is widely used in finance roles such as quantitative analyst, trader, and financial engineer due to its simplicity and extensive libraries like pandas, NumPy, and scikit-learn. It is commonly employed for data analysis, algorithmic trading, risk management, and financial modeling, making it a valuable skill for finance professionals.

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:
Python Finance jobs near you
Infographic showing various Python Finance job openings in Montreal, QC as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $108,073 per year, or $52 per hour.

Python Developer + Pricing

Jay Analytix

Montreal, QC • On-site

Full-time

Posted 10 days ago

Be an early applicant

Job description

Role Overview

We are seeking a Python Developer with experience in pricing models and banking systems to build, enhance, and support applications used for valuation, risk analysis, and trading. The role involves working closely with front-office, risk, and quantitative teams to deliver scalable and accurate financial solutions.

Key Responsibilities
  • Develop and maintain pricing libraries for financial instruments such as Derivative (finance), bonds, and structured products
  • Implement pricing models (e.g., Black-Scholes Model) using Python
  • Build tools for valuation, P&L calculations, and risk analytics
  • Work with traders, quants, and risk teams to understand business requirements
  • Process and validate market data (interest rates, volatility, curves)
  • Optimize performance of pricing engines and analytics workflows
  • Ensure accuracy, consistency, and auditability of financial calculations
  • Develop APIs and services for integration with trading and risk platforms