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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

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 ...

Synechron

Java/Python DB Developer

Montreal, QC

... services financiers et de technologie renommees. Grace a des initiatives de recherche et ... Notre defi: Nous sommes a la recherche d'un(e) developpeur(euse) Java/Python/Base de donnees ...

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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 Sep 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.

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.

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 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.

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 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 August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% 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

Re-posted 13 days ago

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