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Full Time Hedge Fund Software Engineer Jobs (NOW HIRING)

Schonfeld

Software Engineer

Manhattan, NY · On-site

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for its investors. The Software Engineer will join the Accounting and Valuation ...

FTS US Inc.

TAX SENIOR - HEDGE FUND PRACTICE

Greenwich, CT

$91K - $113K/yr

Tax Seniors focus on tax compliance and some compliance review of hedge fund, private equity ... Experience with fund accounting/tax software (Advent Geneva, NTAS CCH, FastTax) a plus * Strong ...

FTS US Inc.

TAX SENIOR - HEDGE FUND PRACTICE

Greenwich, CT

$91K - $113K/yr

Tax Seniors focus on tax compliance and some compliance review of hedge fund, private equity ... Experience with fund accounting/tax software (Advent Geneva, NTAS CCH, FastTax) a plus * Strong ...

SolGenie

Software Engineer

Manhattan, NY · On-site

Software Engineer Location: New York (Hybrid) Candidate should work from office 3-4 days Duration ... hedge fund on data engagements. Contribute to a variety of Development initiatives, focusing on ...

Booktemps

Fund Accountant

New York, NY

... Hedge Fund Accounting experience is preferred. A BookTemps associate has been serving in this position for 2 years on a part-time basis. The position has been elevated to full-time direct hire due to ...

Booktemps

Fund Accountant

New York, NY · On-site

... Hedge Fund Accounting experience is preferred. A BookTemps associate has been serving in this position for 2 years on a part-time basis. The position has been elevated to full-time direct hire due to ...

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All JobsFull Time Hedge Fund Software Engineer Jobs

Full Time Hedge Fund Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do full time hedge fund software engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full time hedge fund 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 Hedge Fund Software Engineer do?

A Full Time Hedge Fund Software Engineer designs, develops, and maintains software systems used by hedge funds to support trading, risk management, data analysis, and portfolio management. Their work often involves building custom trading platforms, integrating market data feeds, optimizing algorithms for speed and efficiency, and ensuring the reliability and security of financial systems. These engineers collaborate closely with traders, quantitative analysts, and other technology teams to deliver solutions that give the hedge fund a competitive edge. They typically use programming languages such as Python, C++, or Java and work in fast-paced, high-stakes environments.

What are some common challenges Full Time Hedge Fund Software Engineers face when working with real-time trading systems?

Full Time Hedge Fund Software Engineers often encounter challenges related to ensuring the reliability, speed, and scalability of real-time trading systems. The fast-paced nature of financial markets requires robust solutions that can handle large amounts of data with minimal latency. Engineers must also adapt quickly to evolving business requirements and collaborate closely with traders and quantitative analysts to implement and optimize trading strategies. Additionally, maintaining system security and complying with industry regulations are ongoing concerns.

What is the difference between Full Time Hedge Fund Software Engineer vs Quantitative Analyst?

AspectFull Time Hedge Fund Software EngineerQuantitative Analyst
Required CredentialsBachelor's/Master's in Computer Science, Engineering, or related fields; coding skillsDegree in Mathematics, Statistics, or Finance; strong analytical skills
Work EnvironmentDevelops trading systems, algorithms, and infrastructure within hedge fundsBuilds mathematical models and strategies to inform trading decisions
Industry UsageCommonly employed in hedge funds for technology developmentUsed across hedge funds and asset management firms for strategy development

While both roles operate within hedge funds, Full Time Hedge Fund Software Engineers focus on building and maintaining trading systems and infrastructure, requiring strong programming skills. Quantitative Analysts primarily develop mathematical models and trading strategies, emphasizing analytical and statistical expertise. Both roles are essential but differ in their core responsibilities and skill sets.

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

To thrive as a Full Time Hedge Fund Software Engineer, you need strong programming skills (commonly in Python, C++, or Java), a solid background in computer science, and often a degree in a related field such as Computer Science, Mathematics, or Engineering. Familiarity with financial systems, databases (like SQL), version control (Git), and experience with low-latency or high-performance computing are highly valued, and certifications in cloud computing or finance can be advantageous. Critical soft skills include problem-solving, attention to detail, effective communication, and the ability to work collaboratively in high-pressure environments. These skills are crucial for developing robust, efficient trading systems and ensuring technology reliably supports complex investment strategies.
More about Full Time Hedge Fund Software Engineer jobs
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Full Time Hedge Fund Software Engineer jobs near you
Infographic showing various Full Time Hedge Fund Software Engineer job openings in the United States as of June 2026, with employment types broken down into 4% Full Time, 95% Part Time, and 1% 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.
Algorithmic Trading Developer at Hedge Fund

Algorithmic Trading Developer at Hedge Fund

Domeyard LP

Boston, MA • On-site

Full-time

Medical, Dental

Posted 22 days ago

Job description

Job Description

***IMPORTANT: Please apply via the link below (takes <5 minutes)*** 

http://grnh.se/qid8ne

Domeyard is a start-up hedge fund based in Boston, MA. We deploy capital in a variety of asset classes, through the use of quantitative models and low latency trading strategies. 

Domeyard is expanding its team of developers and researchers. We are a fast-growing company: you will influence the early decisions of the firm and have the opportunity to lead a team of developers within months. Your code will often be deployed to handle substantial risk capital. As a developer, you will often work with cutting-edge libraries and protocols that are poorly-documented, and as a researcher, you will often perform self-directed research. Feel free to show us any work that demonstrates your day-to-day interest in coding / science - we would love to see your academic publications, GitHub projects or StackOverflow answers. No financial experience is required. 

Our firm has a flat structure and a casual dress code, and your starting salary will be no less than those of the founders. You will enjoy both the perks of joining a hedge fund partnership as well as those of a startup founding team. You will have the opportunity to travel and meet industry leaders, and will receive health and dental coverage. We welcome cultural diversity and are able to sponsor H1-B visas. 

***IMPORTANT: Please apply via the link below (takes <5 minutes)*** 

http://grnh.se/qid8ne

Qualifications

Responsibilities:

Implementing software for low latency trading.

Designing message-oriented middleware and internal APIs to publish-subscribe platforms and

databases.

Integrating external protocols and APIs with our infrastructure.

Identifying and managing performance bottlenecks.

Developing tools (e.g. numerical libraries, GUIs) to improve research productivity.

Preferred qualities:

Background in computer science, physics, mathematics, or a related engineering discipline. Proficiency with C/C++ in a UNIX environment.

Experience with low-level optimization (e.g. memory hierarchy, instruction set architectures,

lock-free algorithms, bus overheads, profiling) and multi-core parallelism.

Knowledge of operating system internals (e.g. network stack, timers, scheduling, interrupt

handling, virtual memory, file systems) and kernel source. Elegant coding style and good taste in API design.

Additional Information

***IMPORTANT: Please apply via the link below (takes <5 minutes)*** 

http://grnh.se/qid8ne

Apply