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Home Based High Frequency Trading Software Engineer Jobs

Senior Software Engineer

O Fallon, MO · On-site

$114K - $151K/yr

Responsible for performance engineering of the enterprise software architecture. * Significant code ... switching, high frequency trading systems or global real-time event streaming systems etc.

Junior Software Engineer

Chicago, IL · On-site

$80K - $130K/yr

Work daily within a tight-knit unit of Traders and Quants to translate high-frequency strategies ... Final compensation will be determined based on the candidate's skills, experience, education, and ...

You will work closely with experienced traders, software engineers, and quantitative researchers to ... Ability to understand and troubleshoot high-frequency trading strategies and systems * Strong ...

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

FPGA Engineer

New York, NY · On-site

$180K - $280K/yr

... high frequency trading. We are looking for talented hardware engineers with a track record of ... You probably enjoy solving complex system problems where hardware and software come together to ...

DevOps Engineer - Tribus

Manhattan, NY

$58.25 - $79.75/hr

Modernising Linux-based deployment and runtime systems used by trading and quant teams * Automating ... Trading, Crypto or Hedge Fund Experience * Experience working in low-latency, high-frequency ...

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Home Based High Frequency Trading Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do home based high frequency trading software engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for home based 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 is the difference between Home Based High Frequency Trading Software Engineer vs Home Based Quantitative Analyst?

AspectHome Based High Frequency Trading Software EngineerHome Based Quantitative Analyst
Required CredentialsComputer Science degree, programming skills, knowledge of trading algorithmsMathematics, statistics, finance degrees, programming skills
Work EnvironmentDeveloping and optimizing trading algorithms, coding in C++, PythonData analysis, modeling, research, often using statistical software
Employer & Industry UsageTrading firms, hedge funds, financial institutionsHedge funds, investment banks, financial research firms

While both roles involve quantitative skills and programming, the Home Based High Frequency Trading Software Engineer focuses on developing trading algorithms and software, whereas the Home Based Quantitative Analyst emphasizes data analysis and modeling to inform trading strategies.

What are some common challenges faced by home-based high frequency trading (HFT) software engineers, and how can they be addressed?

Home-based HFT software engineers often face challenges related to maintaining low-latency connectivity and real-time collaboration with team members. Working remotely requires setting up a robust and secure home network to ensure reliable access to trading infrastructure. Additionally, staying updated with the latest financial regulations and technology advancements is crucial. Effective communication tools and regular virtual meetings help foster collaboration, while a disciplined work routine aids in managing the fast-paced and high-pressure nature of HFT environments.

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

To thrive as a Home Based High Frequency Trading Software Engineer, you need advanced programming skills (especially in C++, Python, or Java), deep knowledge of algorithms, and a solid background in computer science or a related field. Familiarity with low-latency systems, networking protocols, and trading platforms, as well as experience with Linux and version control systems, are typically required; certifications in financial technology or quantitative analysis can be advantageous. Strong problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills set top professionals apart in this field. These skills and qualities are crucial to designing, optimizing, and maintaining robust trading systems that compete effectively in fast-moving financial markets.

What are Home Based High Frequency Trading Software Engineers?

Home Based High Frequency Trading (HFT) Software Engineers are specialized developers who design, build, and maintain software systems that execute large volumes of financial trades at extremely high speeds, all while working remotely. These engineers focus on optimizing algorithms for speed and reliability, often working with low-latency systems, networking, and real-time data processing. They collaborate closely with quantitative analysts and traders to implement trading strategies and ensure the software complies with regulatory standards. Working from home, they use secure and robust remote access tools to connect to financial markets and development environments.
More about Home Based High Frequency Trading Software Engineer jobs
What cities are hiring for Home Based High Frequency Trading Software Engineer jobs? Cities with the most Home Based High Frequency Trading Software Engineer job openings:
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Infographic showing various Home Based High Frequency Trading Software Engineer job openings in the United States as of June 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Quantitative Trader - High Frequency Futures

Wolverine Worldwide

Chicago, IL • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job 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. 
  • 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
  • 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.
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.