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High Frequency Trading Python Jobs (NOW HIRING)

Quanta Search

High Frequency Quant Trader

Chicago, IL · On-site

Our client is a diversified trading firm with over 3 decades of experience bringing sophisticated ... in High Frequency Trading in the US, Canadian, or European Markets is required * Excellent written ...

Quanta Search

High Frequency Quant Trader

Chicago, IL · On-site

Our client is a diversified trading firm with over 3 decades of experience bringing sophisticated ... in High Frequency Trading in the US, Canadian, or European Markets is required * Excellent written ...

Cloud Peritus

Hardware Engineer

New York, NY · On-site

$135K - $178K/yr

We are looking for a hardware engineer to join our high frequency trading technology team ... Experience with C++ and Python. Experience with functional verification and system level debugging.

Man Group

Principal Quant

New York, NY · On-site

... Group's global trading in financial markets utilizing high-frequency techniques. Specific ... Expertise in Python and Linux environments * Comfortable proficiency in C++, Java, or another low ...

Cloud Peritus

Hardware Engineer

New York, NY · On-site

$135K - $178K/yr

We are looking for a hardware engineer to join our high frequency trading technology team ... C++ and Python. • Experience with functional verification and system level debugging. • ...

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How much do high frequency trading python jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for high frequency trading python 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 is the difference between High Frequency Trading Python vs Quantitative Analyst?

AspectHigh Frequency Trading PythonQuantitative Analyst
Required credentialsDegree in Computer Science, Mathematics, or related field; programming skills in Python; knowledge of trading algorithmsDegree in Finance, Economics, or Mathematics; strong analytical and programming skills; often requires advanced degrees
Work environmentFast-paced trading firms, hedge funds, proprietary trading desksFinancial institutions, investment banks, asset management firms
Industry usageDeveloping and implementing high-frequency trading algorithms using PythonModeling, data analysis, and strategy development for investment decisions

High Frequency Trading Python professionals focus on developing rapid trading algorithms using Python in high-speed trading environments. Quantitative Analysts analyze data and develop models to inform investment strategies. While both roles require strong quantitative skills and programming knowledge, their primary functions differ: one emphasizes algorithm execution speed, the other strategic analysis.

What are some common challenges faced by High Frequency Trading Python developers, and how can they be addressed?

High Frequency Trading (HFT) Python developers often encounter challenges related to optimizing code for ultra-low latency and high throughput. Since HFT strategies require processing large volumes of data in real-time, developers must write highly efficient, concurrent Python code and interface with lower-level languages or specialized libraries. Collaboration with quantitative analysts and network engineers is also crucial, as strategies and infrastructure need to be closely aligned. To address these challenges, continuous learning about performance tuning, leveraging advanced Python libraries like NumPy or Cython, and adopting best practices in software architecture are essential.

What are the key skills and qualifications needed to thrive as a High Frequency Trading Python Developer, and why are they important?

To thrive as a High Frequency Trading Python Developer, you need deep expertise in Python programming, strong quantitative and analytical skills, and a solid understanding of financial markets. Familiarity with low-latency programming, trading APIs, version control systems, and experience with tools like NumPy, pandas, and real-time data feeds are typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help professionals excel in this fast-paced environment. These skills are crucial for building efficient trading algorithms, minimizing latency, and maintaining reliability in highly competitive financial markets.

What is High Frequency Trading Python?

High Frequency Trading (HFT) Python refers to the use of the Python programming language to develop algorithms and systems for high frequency trading in financial markets. HFT involves executing a large number of trades at extremely high speeds, often using complex strategies based on real-time data analysis. Python is popular in this field because of its extensive libraries, rapid development capabilities, and ease of integration with other technologies. While Python may not always match the raw speed of languages like C++, it excels in research, prototyping, and connecting various components in HFT systems.
Infographic showing various High Frequency Trading Python job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 94% Full Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

SENIOR TRADER (AMSTERDAM) WFH Flexible • Amsterdam

Roy Talman and Associates, Inc.

Chicago, IL • On-site, Remote

Full-time

Posted 5 days ago

Job description

Bachelor's degree in a technical area such as computer science or engineering
Required Experience & Skills
Advanced quantitative, research and statistical skills with a tenacity to create or find a powerful, sophisticated strategy and solution at a medium to high frequency
Aptitude and experience in developing, monetizing, and evolving high frequency algorithms
Extremely analytical and probabilistic mindset with superb problem solving skills
Confident vision of building and leading teams driven to compete and win
Motivation and resourcefulness in quickly solving hard problems through the creative application of technology
Ability to manage numerous trading development priorities with ease
Ability to facilitate collaboration with team members and other departments in order to drive productivity
Values teamwork and is capable of thinking independently
Ability to generate trading ideas and design overall strategies at a high level using the tools available
Willing to learn the intricacies of a world-class high-frequency trading floor environment and know how to contribute in a meaningful manner
Ability to adapt to challenging and changing situations
Strong mathematical aptitude and entrepreneurial mind
Programming proficiency in C++ and/or Python
Working knowledge of TensorFlow and Pytorch is a plus
Experience with Slurm or another distributed compute cluster environment
Excellent verbal communication including during under pressure situations
3-5+ years working experience in high volume electronic / systematic / high frequency trading
Outstanding and consistent Return on Capital (ROC)
Familiarity with numerous trades in areas such as equities, treasuries, metals, ETFs, futures, or options
Demonstrated the ability to use sound judgment and maturity while trading and managing a large risk capital book
Knowledge of generating trades from data driven analysis
Experience holding team members accountable for driving results
Experience back testing strategies including microstructure research
Practical experience in applying advanced machine learning techniques to trading problems
Employee must be an EU citizen
Employee must live in or be in daily commuting distance to Amsterdam

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