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High Frequency Trading Developer Jobs (NOW HIRING)

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. Responsibilities: Architect and implement FPGA applications (RTL design, synthesis, place & route, timing ...

Hyphen Connect Limited

$109K - $149K/yr

Expert-level proficiency in C++ or Rust programming ... Strong background in high-frequency trading (HFT) or market making. * Experience with low-latency ...

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. Responsibilities: • Architect and implement FPGA applications (RTL design, synthesis, place & route ...

Forte Group

Lead C++ Developer

Chicago, IL · On-site

... high-frequency trading system Qualifications Responsibilities: * Implement, test, and deploy ... Understanding of network programming * Excelent written and verbal communication skill Additional ...

Open Systems Technologies

C++ Developer

Manhattan, NY · On-site

$300K/yr

C Developer in New York, NY Compensation: $200-300k/year This team is looking for a software ... Designing and implementing a low latency, high-frequency trading platform Qualifications * A ...

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High Frequency Trading Developer information

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$24K

$148.4K

$354K

How much do high frequency trading developer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for high frequency trading developer in the United States is $148,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $180,500.00 per year, depending on experience, location, and employer.

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

To thrive as a High Frequency Trading (HFT) Developer, you need strong programming skills in languages like C++ or Java, a background in computer science or quantitative fields, and deep knowledge of algorithms and data structures. Familiarity with low-latency systems, network protocols, real-time data feeds, and experience using tools such as FIX protocol and Linux are standard requirements. Exceptional problem-solving abilities, attention to detail, and the capacity to work well under pressure are crucial soft skills in this highly competitive environment. These skills are vital to building efficient, reliable trading systems that can outperform competitors and adapt quickly to market changes.

What is the difference between High Frequency Trading Developer vs Quantitative Developer?

AspectHigh Frequency Trading DeveloperQuantitative Developer
Required CredentialsComputer Science, Software Engineering, or related degrees; programming skills in C++, Python; knowledge of trading systemsMathematics, Statistics, or Financial Engineering degrees; programming skills in Python, R, C++; strong analytical skills
Work EnvironmentFast-paced trading firms, hedge funds; focus on low-latency systemsFinancial institutions, hedge funds; focus on model development and data analysis
Employer & Industry UsagePrimarily in trading firms and hedge funds involved in high-frequency tradingAcross financial services, including asset management and hedge funds

High Frequency Trading Developers focus on building low-latency trading systems for rapid execution, while Quantitative Developers develop models and algorithms for trading strategies. Both roles require strong programming skills and financial knowledge, but HFT Developers emphasize system optimization, whereas Quantitative Developers focus on data analysis and modeling.

What is a High Frequency Trading Developer?

A High Frequency Trading (HFT) Developer is a software engineer who specializes in creating trading algorithms and systems that execute a large number of financial transactions at extremely high speeds. These professionals work with low-latency programming, networking, and data analysis to gain competitive advantages in the financial markets. HFT Developers typically work for investment banks, hedge funds, or proprietary trading firms, and are responsible for optimizing code, implementing trading strategies, and ensuring system reliability. Strong knowledge of programming languages like C++, Java, or Python, as well as familiarity with financial markets, is essential for this role.

What are some common challenges faced by High Frequency Trading Developers in maintaining low latency systems?

High Frequency Trading Developers often face the challenge of minimizing latency while ensuring system stability and accuracy. This requires constant optimization of code, efficient use of hardware resources, and rapid troubleshooting of unexpected issues such as network congestion or hardware failures. Developers must also stay up to date with the latest advancements in networking, programming languages, and exchange protocols to ensure their systems remain competitive. Collaboration with traders and infrastructure teams is crucial to quickly adapt to changing market conditions and technological advancements.
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High Frequency Trading Developer jobs near you
Infographic showing various High Frequency Trading Developer job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $148,432 per year, or $71.4 per hour.

High Frequency Quant Trader

Quanta Search

Chicago, IL

Other

Posted 2 days ago

Job description

Our client is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, they trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. They have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

The Team:
You will join a trading team responsible for managing systematic strategies in Equities. The team focuses on both latency sensitive and non-latency sensitive investment opportunities across geographies and holding periods. The team is responsible for the complete lifecycle of quantitative investment process, research, development, and trading of systematic strategies. The team strongly emphasizes cutting-edge innovative scientific research and is looking to add an individual who is enthusiastic about contributing within a team environment.

Responsibilities:
The main responsibility of the role will be to research, design and implement new quantitative trading strategies. This will entail generating alphas from a variety of traditional and alternative datasets using rigorous statistical methods. To be successful in this role, the ideal candidate will need to build a deep understanding of the underlying datasets and be able to apply the latest scientific algorithms for statistical model development.

Qualifications:

The ideal candidate will be excited about working in a collaborative team environment, with an emphasis on team performance. We also require the following:

  • 5+ years' experience in quantitative investment research in High Frequency Trading in the US, Canadian, or European Markets is required
  • Excellent written and verbal communication skills to report research results/methodologies required
  • Strong programming skills with the ability to explore large datasets required

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