ZipRecruiter

Log In

1

High Frequency Trading Python Jobs (NOW HIRING)

Quanta Search

High Frequency Algo C++ Developer

Manhattan, NY · On-site

$53.50 - $72.25/hr

... and Python code. Role/Responsibilities: • Work with the existing High Frequency Algo development team to develop, extend, and optimize the existing trading platform • Work with the Central ...

next page

Showing results 1-20

People also search for

All JobsHigh Frequency Trading Python Jobs

High Frequency Trading Python information

See salary details

$13

$58

$86

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.
Trader, High Frequency Trading

Trader, High Frequency Trading

Next Step Systems

New York, NY • On-site

Full-time

Medical, Retirement, PTO

Posted 29 days ago

Job description

Trader, High Frequency Trading, New York, NY
A rapidly growing proprietary trading firm with offices in Chicago, London & New York City, is seeking to add entry level Trader, High Frequency Trading to join an already established Trading Department in the New York office. This position will fit candidates with 1 to 2 years' experience in proprietary trading or bank derivatives business or technology support. Candidates who have no experience in the proprietary industry would be considered pending their degree and previous work experience. This position will be located in the New York office. Must have 5+ years of High Frequency Trading (HFT) experience.
Qualifications:
- Must have 5+ years of High Frequency Trading (HFT) experience.
- Math aptitude, analytical and problem solving skills.
- Strong computer skills with the ability to do development in a programming language (e.g. C++, C#, R).
- Ability to do light development in a programming language using multi-dimensional arrays, nested loops, complex conditionals and simple file I/O.
- Ability to react calmly and quickly in an electronic trading environment.
- Demonstrated interest in trading.
- Learn new concepts quickly.
- Has demonstrated the ability to use good judgment.
- Maintain integrity at all times.
- Values teamwork but still can think and work independently.
- Will dig in and be self-motivated and self-directed in personal growth and learning.
- Can communicate effectively while under pressure.
- Can adapt to changing situations with ease.
- Capable of maintaining focus with a strong drive for success.
- Ability to work on a competitive team.
- Mental discipline and ability to solve problems under pressure.
- Bachelor's Degree from a 4-year university.
- Degree in Computer Science, Engineering, Math or Physics.
- Strong GPA (3.5 or higher).
Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: New York NY Jobs, Trader, High Frequency Trading, HFT, C++, R, C#, Multi-Dimensional Arrays, Nested Loops, Simple File I/O, Trading Environment, Programming, Programmer Analyst, New York Recruiters, Information Technology Jobs, IT Jobs, New York Recruiting
Company Will Relocate Candidates!
Looking to hire for similar positions in New York, NY or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Traders with High Frequency Trading for jobs in New York, New York and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Dallas, Denver, Detroit, Fort Lauderdale, Houston, Indianapolis, Jacksonville, Kansas City, Los Angeles, Miami, Minneapolis, Nashville, New Jersey, New York, Philadelphia, Phoenix, Raleigh, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Silicon Valley, St Louis, Tampa, Washington DC

Apply