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Python Quant Jobs (NOW HIRING)

IO Associates

Python Quant Developer

Manhattan, NY · On-site

$55.50 - $76.25/hr

Python Developer (Quantitative Trading) iO Associates are supporting a leading quantitative trading firm renowned for its cutting-edge technology and a rich history of market innovation. Operating ...

Valueprosite

Python Quantitative Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Python Quantitative Developer with investment Banking Experience Location: Pittsburg, PA / Lake ... Quant libraries. • Work with large datasets using SQL to integrate financial, balance sheet, and ...

Next Step Systems

Quantitative Analyst

Northbrook, IL · On-site

... Python, Quant, Quantitative, Large Data Sets, MySQL, SQL, Data Integrity, Regression, Performance Testing, Financial Markets, Trading, Illinois Recruiters, Information Technology Jobs, IT Jobs, ...

Dime Line Trading

Always Recruiting For

Chicago, IL

$17.50 - $21.75/hr

We are always open to hiring for the following roles: - Software Developers - specifically Python - Quant Developers - Live Sports Traders - DevOps Engineers Please submit your resume and it will be ...

Reuben Cooley Inc

Sr Python Developers

Pittsburgh, PA · On-site

$113K - $152K/yr

Python Quantitative Developer with investment Banking Experience Location: Pittsburgh, PA / Lake Mary, FL/ Jersey City, NJ - Hybrid Duration: Long Term Project Experience: 8-10+ Years Job Summary:

Next Step Systems

Tactics Associate

Northbrook, IL · On-site

Qualifications: - Advanced quantitative skills. - Proficiency in a high-level programming language (R or Python). - Experience working with large data sets. - Knowledge of Databases (MySQL, SQL, etc ...

TriosysIT Inc.

Python Developer

Columbus, OH · On-site

$47 - $64.75/hr

Quantitative finance * Python * Python web technologies, e.g. Flask, Dash * Python data processing technologies, e.g. Pandas, Numpy * Solid understanding on web applications, e.g. HTML, CSS ...

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How much do python quant jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for python quant in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, 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.

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What cities are hiring for Python Quant jobs? Cities with the most Python Quant job openings:
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Python Quant jobs near you
Infographic showing various Python Quant job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Python Quant Developer

IO Associates

Manhattan, NY • On-site

$55.50 - $76.25/hr

Other

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Enhance and maintain existing research frameworks and develop new analytical tools using Python and C++.

  • Collaborate closely with quantitative researchers to understand their technical requirements and provide effective solutions.

  • Implement and optimise algorithms within a fast-paced, iterative development environment.

Job description



Python Developer (Quantitative Trading)
iO Associates are supporting a leading quantitative trading firm renowned for its cutting-edge technology and a rich history of market innovation. Operating within the financial services industry, they specialise in systematic trading strategies powered by advanced engineering and data science. Known for fostering a dynamic and inclusive culture, they invest heavily in their people and technology, creating an environment where talented professionals can thrive. Employees benefit from a collaborative workspace, comprehensive benefits, and opportunities for continuous learning in a global setting.



The Opportunity
Due to continued growth and a strategic focus on enhancing their research infrastructure, Our Client is seeking a talented Python Developer to strengthen their US-based trading technology team. This role is pivotal for advancing the data analysis and research tools used by quantitative analysts. It offers an exciting chance to contribute directly to high-impact trading strategies and work alongside some of the most accomplished minds in the financial technology sector.


Key Responsibilities



  • Enhance and maintain existing research frameworks and develop new analytical tools using Python and C++

  • Collaborate closely with quantitative researchers to understand their technical requirements and provide effective solutions

  • Implement and optimise algorithms within a fast-paced, iterative development environment

  • Support the automation of workflows, including scripting and task scheduling

  • Integrate statistical libraries and data processing tools such as Numpy, Pandas, and Polars to improve data analysis capabilities

  • Contribute to the development of infrastructure supporting both equities and equity derivatives trading



Essential Skills & Experience



  • A degree in Computer Science, Engineering, or a comparable field; a Master's qualification is advantageous

  • Extensive practical experience (minimum three years) in Python development within a production environment

  • Strong knowledge of C++ programming

  • Familiarity with statistical computing libraries, especially Numpy, Pandas, and Polars

  • Proven problem-solving skills with the ability to adapt in a collaborative, high-pressure environment

  • Experience with scripting languages like Bash and workflow management tools

  • Good understanding of equities markets and derivatives trading



Desirable Skills & Additional Experience



  • Exposure to low-latency programming and hardware acceleration techniques

  • Knowledge of FPGA technology and machine learning applications

  • Experience working in distributed teams across multiple geographies

  • Previous experience within financial markets, especially in trading-related roles






Note: This role is open to candidates eligible for hybrid work arrangements and able to work in the US.

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