2

Full Time High Frequency Trading Software Engineer Jobs

Technology Employment Type: Full Time Location: Chicago, IL Description Grow your C++ expertise ... As a Software Engineer at Wolverine, you'll contribute to the design and development of high ...

Low-Latency Developer

New York, NY · On-site

$150K - $300K/yr

... quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is ... Access to professional tools, software, and resources * Fully equipped workstations with high ...

About the role We're seeking a Senior Systems Software Engineer to take on the toughest challenges ... Work with a team of experts with deep expertise in high-frequency trading and scaling developer ...

next page

Showing results 1-20

Full Time High Frequency Trading Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do full time high frequency trading software engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for full time high frequency trading software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a Full Time High Frequency Trading Software Engineer do?

A Full Time High Frequency Trading (HFT) Software Engineer designs, develops, and maintains the ultra-low latency software systems that power automated trading strategies in financial markets. Their primary responsibilities include optimizing code for speed, ensuring system reliability, and working closely with quantitative analysts and traders to implement new algorithms. They often work with languages like C++ or Java and use specialized networking techniques to minimize delays. The goal is to enable trading firms to execute large volumes of trades at the fastest possible speeds, often competing with other firms in microseconds. This role requires a deep understanding of computer science, networking, and financial markets.

Can you make $500,000 as a software engineer?

Full-time high frequency trading software engineers can potentially earn $500,000 or more annually, especially with experience, performance bonuses, and profit-sharing in trading firms. Compensation often depends on skill level, the firm's size, and the success of trading strategies, with top earners in the industry reaching or exceeding this level. However, such high salaries are typically associated with senior roles and high-performance environments.

How much do high frequency trading engineers make?

High frequency trading software engineers typically earn between $150,000 and $300,000 annually, with experienced professionals and those in major financial hubs earning higher salaries. Compensation often includes bonuses and profit sharing, reflecting the competitive and specialized nature of the role.

What engineers make $500,000 a year?

Full-time high frequency trading software engineers can earn $500,000 or more annually, especially those with advanced skills in algorithm development, low-latency programming, and experience with trading platforms. Compensation often includes base salary, bonuses, and profit sharing, reflecting the high-stakes nature of the industry.

What are some typical challenges Full Time High Frequency Trading Software Engineers face when optimizing trading systems?

Full Time High Frequency Trading (HFT) Software Engineers often encounter challenges related to minimizing latency and maximizing system throughput. They must continuously fine-tune algorithms and network infrastructure to achieve ultra-low latency, while ensuring system stability and reliability under extreme loads. Additionally, staying ahead of rapid technological advancements and adapting to evolving regulatory requirements are ongoing aspects of the role. Collaboration with traders, quants, and infrastructure teams is crucial to align technical solutions with trading strategies and business objectives.

What is the salary of HFT software engineer?

A full-time high-frequency trading (HFT) software engineer typically earns between $150,000 and $300,000 annually, depending on experience, location, and the firm's size. Compensation often includes bonuses and stock options, especially at top trading firms, and requires strong programming skills in C++ and low-latency systems knowledge.

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

To excel as a Full Time High Frequency Trading Software Engineer, you need advanced programming skills (especially in C++ or Java), a strong background in algorithms, and a solid understanding of computer science fundamentals, often paired with a degree in a related field. Familiarity with low-latency systems, network protocols, and experience using specialized trading platforms and performance profiling tools are typically required. Exceptional problem-solving, adaptability, and the ability to collaborate under pressure are standout soft skills in this role. These abilities are crucial for building and maintaining ultra-fast, reliable trading systems that compete effectively in financial markets.

What is the difference between Full Time High Frequency Trading Software Engineer vs Quantitative Trading Software Engineer?

AspectFull Time High Frequency Trading Software EngineerQuantitative Trading Software Engineer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; programming skills in C++, Python; knowledge of trading systemsSimilar credentials; strong math background, programming skills, and experience with trading algorithms
Work EnvironmentFast-paced trading firms, financial institutions, high-performance computing environmentsQuant firms, hedge funds, financial institutions, research-focused settings
Employer & Industry UsageUsed in high-frequency trading firms, investment banks, proprietary trading desksCommon in quantitative hedge funds, asset managers, and trading firms

While both roles require strong programming skills and financial knowledge, the Full Time High Frequency Trading Software Engineer focuses on developing ultra-low latency trading systems for high-speed markets, whereas the Quantitative Trading Software Engineer emphasizes designing and implementing trading algorithms based on quantitative research. Both roles are integral to trading firms but differ in their primary focus and technical approach.

What cities are hiring for Full Time High Frequency Trading Software Engineer jobs? Cities with the most Full Time High Frequency Trading Software Engineer job openings:
What are the most commonly searched types of High Frequency Trading Software Engineer jobs? The most popular types of High Frequency Trading Software Engineer jobs are:
What states have the most Full Time High Frequency Trading Software Engineer jobs? States with the most job openings for Full Time High Frequency Trading Software Engineer jobs include:

High Frequency Trading Quant Researcher (Equities)

Quanta Search

New York, NY • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


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
Thank you for illuminating hiring with Quanta Search!
www.quantasearch.com