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Python Trading Jobs (NOW HIRING)

Maven

Trading Analyst (Python)

Chicago, IL · On-site

Backed by deep expertise in trading, technology, and research, we are relentlessly focused on ... Strong Python - you can write it, read it, debug it, and confidently review code * Solid numerical ...

Maven

Trading Analyst (Python)

Chicago, IL

Backed by deep expertise in trading, technology, and research, we are relentlessly focused on ... Strong Python - you can write it, read it, debug it, and confidently review code * Solid numerical ...

DRW

Python Software Engineer, Trading Platform

New York, NY · On-site

$150K - $180K/yr

Experience in the trading industry * Familiarity with the scientific python stack * Understanding of the latest in python package management The annual base salary range for this position is $150,000 ...

Apex Informatics

Python Engineer

Jersey City, NJ · On-site

Python, AWS, Trading experience, Containerization, Equity or Derivatives. * 5+ years of experience. * Advanced level Python coding. Numpy and Pandas exp. * Need strong cloud experience, preferably ...

Apex Informatics

Python Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

Python Developer Onsite NYC preferred, NJ could be acceptable Hybrid 3 days onsite 2 days remote ... on trade and market data to generate risk/PnL values - Demonstrated experience in working on ...

Apex Informatics

Python Developer

Manhattan, NY · On-site

$55.50 - $76.25/hr

Python Developer New York, NY Nearby candidates only Hybrid(3 Days) Years of Experience required ... Having worked in fraud detection should be helpful This role is on the Trade Surveillance team. The ...

Atto Trading

Trading Operations Engineer

New York, NY

$150K - $200K/yr

Automate and optimize trading support workflows and pipelines using Python and Bash scripting. * Support daily risk operations by generating reports and executing defined risk procedures. * Document ...

Atto Trading

Trading Operations Engineer

Lisbon, NY

$150K - $200K/yr

Automate and optimize trading support workflows and pipelines using Python and Bash scripting. * Support daily risk operations by generating reports and executing defined risk procedures. * Document ...

Vitol

Python Data Engineer

Houston, TX · On-site

They are seeking a talented Python Data Engineer to enhance their data assets and support analytical capabilities, working closely with traders, analysts, and data scientists. Responsibilities : • ...

Next Step Systems

Python Software Engineer

Chicago, IL · On-site

Python Software Engineer, Chicago, IL A proprietary trading firm with three locations in Chicago, London, & New York, seeks a Python Software Engineer to join its Data Infrastructure team, to help ...

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How much do python trading jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for python trading 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 key skills and qualifications needed to thrive in the Python Trading position, and why are they important?

To thrive in Python Trading, strong programming skills in Python, a solid understanding of financial markets, and experience with quantitative analysis are essential, often supported by a degree in finance, mathematics, computer science, or a related field. Familiarity with trading platforms (such as MetaTrader or FIX), data analysis libraries (like Pandas and NumPy), and knowledge of version control systems are typically required, while certifications like CFA or FRM can be advantageous. Attention to detail, analytical thinking, and strong problem-solving abilities, along with effective collaboration and communication, help individuals excel in collaborative team environments. These skills enable professionals to develop, deploy, and refine trading strategies with precision, ensuring efficiency and competitiveness in fast-paced financial markets.

What is the highest paying job in Python?

The highest paying jobs involving Python typically include roles such as Quantitative Developer, Machine Learning Engineer, and Data Scientist, especially in finance, technology, and consulting sectors. These positions often require advanced programming skills, experience with data analysis, and knowledge of frameworks like TensorFlow or PyTorch, with salaries exceeding $150,000 annually in some cases.

What is a Python Trading job?

A Python Trading job involves using Python to develop, test, and deploy trading algorithms for financial markets. Professionals in this role work with market data, implement trading strategies, optimize execution, and ensure risk management. They often collaborate with quants and traders to create automated systems for high-frequency, algorithmic, or systematic trading. Strong programming skills, knowledge of financial markets, and experience with libraries like Pandas, NumPy, and scikit-learn are essential.

What are some typical responsibilities of a Python Trading professional on a daily basis?

As a Python Trading professional, your daily responsibilities often include developing and maintaining algorithmic trading strategies, analyzing large sets of market data, and optimizing trading models for performance and risk management. You may collaborate with quantitative analysts, traders, and software engineers to implement robust solutions and respond quickly to market shifts. Routine tasks may also involve back-testing strategies, monitoring live trades, troubleshooting issues, and making data-driven improvements. This role typically requires staying up to date with the latest market trends and technological advancements to ensure your trading systems remain effective and competitive.

What jobs in the US pay 300,000 a year?

In the field of Python trading, roles such as quantitative traders, algorithmic trading developers, and senior quantitative analysts can earn $300,000 or more annually, especially with experience, advanced skills in programming, data analysis, and financial modeling. These positions often require strong knowledge of trading platforms, risk management, and sometimes certifications like CFA or FRM.

Is Python still in demand in 2026?

Python trading roles remain in high demand in 2026 due to Python's widespread use in algorithmic trading, data analysis, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, especially in finance and quantitative analysis environments.

Is Python good for trading?

Python is widely used in trading roles due to its simplicity, extensive libraries, and strong support for data analysis and automation. Many traders and quantitative analysts develop algorithms and trading strategies using Python, making it a valuable skill in the trading industry.
More about Python Trading jobs
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Python Trading jobs near you
Infographic showing various Python Trading job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
KDB / Quant Developer (Python) - Trading & Analytics Focus

KDB / Quant Developer (Python) - Trading & Analytics Focus

EPAM Systems

Manhattan, NY • On-site

Other

Posted 16 days ago

Job description

Our client is looking to expand their team with KDB / Quant Developers to support upcoming demand in trading and data analytics programmes. While project details are still evolving, the focus will be on quantitative development, working closely with trading and quantitative teams. This role will suit candidates with a strong quantitative mindset, experience working with financial datasets, and the ability to build high-performance data analytics solutions. Responsibilities Develop and enhance KDB+/q data platforms for trading and analytics use cases Work with large-scale time-series trading data (equities and options) Build analytics pipelines to support quantitative research, reporting, and trading insights Collaborate with traders and quantitative analysts to deliver data-driven solutions Design and optimise data ingestion, querying, and performance tuning within KDB environments Use Python for data analysis, tooling, and integration with analytics workflows Support development of data models and analytics frameworks aligned to trading use cases Requirements Strong KDB+/q experience Proven Python skills for data analysis and/or quantitative development Experience working with financial markets data (preferably equities and/or options) Solid understanding of data analysis, statistics, and quantitative methodologies Desirable Experience working in front-office or trading environments Exposure to quant research, modelling, or strategy development Knowledge of market microstructure or derivatives data Experience handling large-scale, high-frequency datasets

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