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High Frequency Trading Jobs (NOW HIRING)

Hyphen Connect Limited

$128.10K - $168.90K/yr

Minimum of 7 years of experience in software engineering, with at least 3 years focused on high-frequency trading (HFT) systems. * Bachelor's or Master's degree in Computer Science, Engineering, or a ...

Hyphen Connect Limited

$109.30K - $149.50K/yr

Strong background in high-frequency trading (HFT) or market making. * Experience with low-latency system design and optimization. * Solid understanding of algorithmic trading strategies and ...

Man Group

Principal Quant

New York, NY

High-frequency alpha research: design, implement, and deploy tick-data features and machine learning models targeting short horizons * Trading strategy management: write strategy logic, perform post ...

Cloud Peritus

Hardware Engineer

New York, NY · On-site

$135.10K - $178.30K/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 ...

Quanta Search

HF Independent Trader

Westport, CT

S. equities quantitative trading businesses; high-frequency trading & statistical arbitrage trading. Ideal candidates should possess the following: Experienced U.S. equities quantitative traders ...

Quanta Search

HF Independent Trader

Westport, CT · On-site

S. equities quantitative trading businesses; high-frequency trading & statistical arbitrage trading. Ideal candidates should possess the following: • Experienced U.S. equities quantitative traders ...

Cloud Peritus

Hardware Engineer

New York, NY · On-site

$135.10K - $178.30K/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 ...

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How much do high frequency trading jobs pay per hour?

As of May 31, 2026, the average hourly pay for high frequency trading in the United States is $36.54, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $46.15 per hour, depending on experience, location, and employer.

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

To thrive in High Frequency Trading, you need a strong background in quantitative analysis, computer science, mathematics, and a relevant degree (such as in math, physics, or engineering). Expertise in programming languages like C++, Python, and familiarity with trading platforms and low-latency systems are critical, along with knowledge of financial markets. Exceptional problem-solving abilities, attention to detail, and the ability to work under intense pressure are key soft skills that distinguish top performers. These competencies are essential for developing, optimizing, and executing rapid trading strategies that require precision and adaptability in highly competitive markets.

What are some common challenges faced by professionals in high frequency trading roles?

Professionals in high frequency trading (HFT) often face challenges such as maintaining ultra-low latency in trading systems, adapting quickly to evolving market conditions, and managing the risks associated with high-speed automated strategies. Collaboration with technology and quantitative research teams is crucial to optimize algorithms and infrastructure. Staying compliant with regulatory changes and ensuring system reliability under heavy market loads are also key aspects of the role.

What is high frequency trading?

High frequency trading (HFT) is a type of algorithmic trading that uses powerful computers and complex algorithms to execute a large number of trades at extremely high speeds, often in fractions of a second. HFT strategies typically focus on capturing small price discrepancies in financial markets, profiting from rapid buying and selling. This trading style relies on advanced technology, co-location with exchanges, and low-latency data feeds to gain a competitive edge. HFT plays a significant role in today's financial markets, contributing to liquidity and market efficiency, but it also raises concerns about market fairness and stability.

What jobs make $3,000 a month without a degree?

High frequency trading firms often hire traders or analysts who can earn around $3,000 monthly through skills in programming, data analysis, and understanding financial markets, sometimes without formal degrees. Other roles include sales, customer service, or certain skilled trades that pay this amount with experience or certifications. Success in these jobs typically depends on skills, performance, and sometimes certifications rather than formal education.
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High Frequency Trading jobs near you
Infographic showing various High Frequency Trading job openings in the United States as of May 2026, with employment types broken down into 25% As Needed, 25% Full Time, 25% Part Time, and 25% Temporary. Highlights an 5% Physical, 13% Hybrid, and 82% Remote job distribution, with an average salary of $76,005 per year, or $36.5 per hour.

High Frequency Trading Quant Researcher (Equities)

Quanta Search

New York, NY

Other

Posted 2 days ago

Job description

Our client, a global prop trading firm, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by their unparalleled access to a wide range of publicly available data sources.
They are growing and looking to hire an Equities Quant Analyst
Role/Responsibilities:
Perform rigorous and innovative research to discover systematic anomalies in the equities
market
End-to-end development, including alpha idea generation, data processing, strategy backtesting,
optimization, and production implementation
Identify and evaluate new datasets for stock return prediction
Maintain and improve portfolio trading in a production environment
Contribute to the analysis framework for scalable research
Requirements:
MS or PhD in mathematics, statistics, machine learning, computer science, engineering,
quantitative finance, or economics
3+ years of work experience in systematic alpha research in cash equities, with exposures to
statistical arbitrage or alternative data research
Fluency in data science practices, e.g., feature engineering. Experience with machine learning is
a plus
Experience with signal blending and portfolio construction
Demonstrated proficiency in Python
Highly motivated, willing to take ownership of his/her work
Collaborative mindset with strong independent research abilities
Commitment to the highest ethical standards

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