2

Full Time High Frequency Trading Software Engineer Jobs

$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 ...

Showing results 21-40

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 Aug 15, 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.

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 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:

Quantitative Trader - High Frequency Futures

Wolverine

Chicago, IL โ€ข On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

Quantitative Trader - High Frequency Futures
Department: Trading
Employment Type: Full Time
Location: Chicago, IL
Description
We are looking for highly skilled and experienced individuals to join a research effort focused on generating high frequency trading alphas in the futures markets. The ideal candidate has direct experience in the alpha research process and understands the workflow from idea generation to production implementation. This opportunity will provide the right candidate the chance to have a large impact on the direction and productivity of a newly formed effort within a successful proprietary trading firm.
What You'll Do
  • Conduct financial data analysis on large datasets to generate profitable trading alphas.
  • Define key metrics for model validation
  • Back-testing and production performance monitoring
  • Contribute to in-house data analysis packages and research framework development
  • Acquisition of new data sets and cleaning/maintenance of new and existing data sets.
  • Contribute to futures trading technology stack architecture

What We're Looking For
  • At least 2+ years of experience generating or implementing short term trading alphas into production trading strategies
  • Knowledge of CME and related market microstructure required.
  • Advanced knowledge of modern statistical and machine learning techniques
  • Proficiency in a scripting language such as Python, R, or MATLAB.
  • Proficiency in at least one statistical package and one machine learning package in one of the above languages.
  • Demonstrated experience working with tick data.
  • Degree in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, etc.
  • Experience developing software systems in an object-oriented language is a plus.

Why Join Us
Our flat organizational structure promotes teamwork across the Firm and offers easy access to senior staff. While we work exceptionally well as a team in the office, our bonds are further strengthened through company events, activities and giving back. Volleyball, soccer, hockey, 5K runs, picnic, parties, and trivia nights provide friendly competition and build better relationships. By getting out of our usual environment and doing out-of-the-ordinary things together, we foster creativity and broaden our imaginations to accomplish new challenges.
Benefits:
  • Highly competitive salary & bonus opportunity
  • Generous paid time off and flexible scheduling
  • 100% coverage of medical, dental, vision, life, and disability benefits for single coverage
  • Generous Paid Parental Leave
  • Retirement Plans: 401K and Roth 401K
  • Profit sharing plan
  • Long- and short-term disability

Additional Perks:
  • Free breakfast and lunch from our in-house kitchen with rotating menus (including snacks!)
  • On-site gym with a subsidized membership
  • Frequent company outings
  • Opportunity to give back to organizations that help individuals in need in the Chicagoland area

Professional Development:
  • In-house education team - classes and resources are offered for continuous learning opportunities
  • Mentorship Program through your first six months of employment

The base compensation range for this role is approximately $150,000-$200,000 contingent on experience. Wolverine Trading's total compensation model includes base salary and an annual discretionary bonus.