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Python Quant Jobs in Montreal, QC (NOW HIRING)

Jay Analytix

Python Developer + Pricing

Montreal, QC · On-site

Role Overview We are seeking a Python Developer with experience in pricing models and banking ... The role involves working closely with front-office, risk, and quantitative teams to deliver ...

Jay Analytix

Quantative Developer

Montreal, QC · On-site

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 ...

Jay Analytix

Quantative Developer

Montreal, QC · Hybrid

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 ...

Fed IT

Algorithmic Trading Developer

Montreal, QC

Degree in Computer Science, Mathematics, Quantitative Finance, or a related discipline. Strong programming skills in Python, including data processing, backtesting frameworks, and production ...

Fed IT

Algorithmic Trading Developer

Montreal, QC

Degree in Computer Science, Mathematics, Quantitative Finance, or a related discipline. Strong programming skills in Python, including data processing, backtesting frameworks, and production ...

Fed IT

Algorithmic Trading Developer

Montreal, QC · On-site

Degree in Computer Science, Mathematics, Quantitative Finance, or a related discipline. Strong programming skills in Python, including data processing, backtesting frameworks, and production ...

Targeted Talent

Data Scientist

Montreal, QC

$80K - $100K/yr

You Have: * A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and ...

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All JobsPython Quant JobsPython Quant Jobs in Montreal, QC

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 Jun 30, 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 the 33 words in Python?

In the context of a Python quant role, the 33 words typically refer to the reserved keywords in Python, which are fundamental for writing syntax and control structures. Python has 33 keywords such as 'False', 'None', 'True', 'and', 'as', 'assert', 'break', 'class', 'continue', 'def', 'del', 'elif', 'else', 'except', 'finally', 'for', 'from', 'global', 'if', 'import', 'in', 'is', 'lambda', 'nonlocal', 'not', 'or', 'pass', 'raise', 'return', 'try', 'while', 'with', 'yield'. These keywords are essential for developing quantitative trading algorithms and data analysis scripts in Python.

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's harder, C++ or Python?

For a Python Quant, C++ is generally considered more difficult due to its complexity, lower-level memory management, and steeper learning curve. Python is easier to learn and use for rapid development and data analysis, but C++ offers higher performance and control, often used in latency-sensitive trading systems. Mastering both can be beneficial in quantitative finance roles.

What exactly is Python used for?

Python is a programming language commonly used by Python Quants for data analysis, algorithm development, and automation in finance. It offers libraries like NumPy, pandas, and scikit-learn that facilitate quantitative modeling and machine learning tasks. Proficiency in Python is essential for building and testing trading strategies and managing large datasets.

Is Python difficult to learn?

Python is considered one of the easier programming languages to learn due to its simple syntax and readability, making it popular among quantitative analysts and data scientists. For a Python Quant, understanding core programming concepts and practicing with real-world financial data can help accelerate learning. Consistent study and use of resources like online tutorials and coding environments are beneficial.

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 are popular job titles related to Python Quant jobs in Montreal, QC? For Python Quant jobs in Montreal, QC, the most frequently searched job titles are:
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:
Python Quant jobs near you
Infographic showing various Python Quant job openings in Montreal, QC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $163,331 per year, or $78.5 per hour.

Python Developer + Pricing

Jay Analytix

Montreal, QC • On-site

Full-time

Posted 6 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