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Work From Home High Frequency Trading Software Engineer Jobs

Wintermute

DeFi Algorithmic Trader

New York, NY · On-site +1

... standards of high-frequency trading firms in traditional markets and the innovative and ... to working from home and working hours. We may use artificial intelligence (AI) tools to support ...

MLabs

Staff Software Engineer - Backend & AI Infra

... a high-frequency trading fleet, and the comprehensive migration of model hosting and agent ... By moving away from third-party LLM providers and hosted platforms, this role will establish the ...

Zero Hash

Senior Technical Support Engineer

Chicago, IL · On-site +1

Strong background in fintech, high-frequency trading, SaaS, or other fast-moving, highly regulated ... WeWork All Access Membership * WFH Yearly Stipend * L&D Yearly Stipend (after 6 months) About ...

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Work From Home High Frequency Trading Software Engineer information

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$63.5K

$147.5K

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

As of Aug 5, 2026, the average yearly pay for work from home 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 a work from home high frequency trading software engineer?

A Work From Home High Frequency Trading (HFT) Software Engineer develops and optimizes trading algorithms and infrastructure to execute trades at extremely high speeds. This role involves designing low-latency systems, improving execution efficiency, and maintaining high-performance trading platforms. Engineers work with programming languages like C++, Python, or Java and leverage networking and hardware acceleration technologies. Since the job is remote, they collaborate through digital communication tools while ensuring system reliability and performance.

What does a typical day look like for a work from home high frequency trading software engineer?

A typical day often starts with reviewing system performance metrics and logs from overnight trading, followed by participating in remote team stand-up meetings to coordinate efforts. You'll spend much of your time designing, optimizing, and testing trading algorithms or infrastructure, analyzing latency, and deploying code to live environments. Collaboration with traders, data scientists, and other engineers happens primarily through video calls and chat platforms to quickly address emerging issues or brainstorm new strategies. The role requires agility to troubleshoot production issues, iterate rapidly on improvements, and stay current on both market and technology trends, all while working independently in a highly dynamic setting.

What are the key skills and qualifications needed to thrive in the work from home high frequency trading software engineer position, and why are they important?

To thrive as a Work From Home High Frequency Trading Software Engineer, you need a strong background in computer science, algorithm development, and low-latency programming, often with experience in C++, Python, or Java. Familiarity with network protocols, performance profiling tools, and version control systems is common, while a background in finance or relevant certifications like Series 57 can be advantageous. Exceptional problem-solving abilities, attention to detail, and effective remote communication skills help you excel in this fast-paced, collaborative environment. These capabilities are critical for building reliable trading systems, addressing latency challenges, and maintaining smooth team workflows in a distributed setting.

More about Work From Home High Frequency Trading Software Engineer jobs
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Work From Home High Frequency Trading Software Engineer jobs near you
Infographic showing various Work From Home High Frequency Trading Software Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. 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.

DeFi Algorithmic Trader

Wintermute

New York, NY • On-site, Remote

Full-time

Re-posted 5 days ago

Job description

About Wintermute
 
Wintermute is a technology unicorn and one of the largest algorithmic trading companies, specialising in digital assets. We provide liquidity across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as supporting high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also has a Wintermute Ventures arm that invests in early stage DeFi projects.
 
Wintermute was founded in 2017 and has successfully navigated industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. At Wintermute, we believe in the innovative potential of blockchain, the fundamental innovations, we have a long-term view on the digital asset market and are taking a leadership position in building an innovative and compliant market. You can read more here.
 
Working in the DeFi team
 
We're looking for a motivated and curious individual to join our DeFi team full-time. In this role, you'll research on-chain protocols and run data-driven experiments to help advance our understanding of decentralized finance.
 
Our trading approach is deeply rooted in technology - our traders are analytical, programmatic problem solvers who thrive on innovation. In keeping with the builder ethos of the DeFi space, this role will give you the opportunity to wear many hats. You'll likely work across multiple codebases and languages, exploring the frontiers of the ecosystem's design space.
 
We are a tight-knit, collaborative team that values open dialogue and creative exploration. You'll work closely with experienced traders and developers, receiving mentorship while being encouraged to form your own perspectives, challenge ideas, and pursue new areas of inquiry together.
Requirements:
  • Proficiency in programming with at least one of Rust or Python
  • Comfortable working on Linux environments and Git version control
  • Experience with programmatic statistical analysis and quantitative / analytic skills
  • High level understanding of high-frequency market making strategies
  • Understanding of blockchain fundamentals and mechanics of the EVM
  • Familiarity with smart contract development and the Foundry toolkit
  • A passion for learning about protocol microstructure and design mechanisms
Note:
  • Although we are unable to accept fully remote candidates, we support significant flexibility in regards to working from home and working hours.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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