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Entry Level Hedge Fund Software Engineer Jobs (NOW HIRING)

Launchpad Recruitment

Senior Backend Engineer

New York, NY

$175K - $225K/yr

Founding Software Engineer Package: $175K - $225K + meaningful equity Location: New York City (5 ... or hedge fund workflows → Experience building AI-enabled or agentic systems → Previous early ...

Quanta Search

Data Engineer for a Hedgefund

Manhattan, NY

$125K - $150K/yr

Our client is a newly established well backed hedge fund with multiple growth opportunities. You ... The role requires great coding and communication skills, disciplined software engineering practices ...

Massar Capital

Data Engineer

New York, NY

$150K - $200K/yr

Numpy & Pandas) as well as significant experience with SQL, as a software developer, quantitative ... Experience at either a hedge fund or for a trading group on the buy-side * Experience with any of ...

Quanta Search

Data Engineer for a Hedgefund

Manhattan, NY · On-site

$125K - $150K/yr

Our client is a newly established well backed hedge fund with multiple growth opportunities. You ... The role requires great coding and communication skills, disciplined software engineering practices ...

Hadronts

ENTRY-LEVEL SOFTWARE ENGINEER

Dallas, TX

The Select Group is seeking an Entry-Level Software Engineer with a strong apt for Object-Oriented Design and a passion for technology in Bellevue, WA . * This enterprise-storage and advanced ...

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How much do entry level hedge fund software engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for entry level hedge fund software engineer in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What are some typical projects or responsibilities for an entry level software engineer at a hedge fund?

As an entry level software engineer at a hedge fund, you can expect to work on projects such as building and maintaining trading tools, automating data pipelines, and supporting portfolio managers with custom analytics. You'll likely collaborate closely with traders, quantitative analysts, and senior engineers to ensure systems are reliable and meet the evolving needs of the investment team. The work environment is often fast-paced, requiring adaptability and strong problem-solving skills. This role provides an excellent opportunity to learn about both finance and technology, setting a solid foundation for future advancement within the firm.

What are the key skills and qualifications needed to thrive as an Entry Level Hedge Fund Software Engineer, and why are they important?

To thrive as an Entry Level Hedge Fund Software Engineer, you need strong programming skills (commonly in Python, C++, or Java), a degree in computer science or a related field, and a solid understanding of data structures and algorithms. Familiarity with financial data platforms, version control systems like Git, and experience with databases or cloud computing is typically expected. Analytical thinking, problem-solving abilities, and effective communication help you collaborate with both technical teammates and finance professionals. These skills enable you to develop reliable, high-performance systems that support critical trading and investment operations.

What does an entry level hedge fund software engineer do?

An entry level hedge fund software engineer designs, develops, and maintains software applications that support the trading, risk management, and data analysis needs of a hedge fund. They work closely with traders, analysts, and other engineers to build tools for processing large amounts of financial data, automate trading strategies, and ensure system reliability. Responsibilities may include writing code, debugging, testing, and deploying software, as well as learning about financial markets and trading systems.

What is the difference between Entry Level Hedge Fund Software Engineer vs Quantitative Analyst?

AspectEntry Level Hedge Fund Software EngineerQuantitative Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; programming skillsBachelor's or Master's in Mathematics, Statistics, or Finance; strong analytical skills
Work EnvironmentCollaborative teams developing trading systems and toolsAnalyzing data, developing models, and supporting trading strategies
Employer & Industry UsageHedge funds, asset management firms, fintech companiesHedge funds, investment banks, financial institutions

While both roles require strong quantitative and technical skills, the Entry Level Hedge Fund Software Engineer focuses on developing and maintaining trading software, whereas the Quantitative Analyst emphasizes data analysis and model development. Both positions are essential in hedge fund operations but differ in daily tasks and skill emphasis.

What cities are hiring for Entry Level Hedge Fund Software Engineer jobs? Cities with the most Entry Level Hedge Fund Software Engineer job openings:
What are the most commonly searched types of Hedge Fund Software Engineer jobs? The most popular types of Hedge Fund Software Engineer jobs are:
What states have the most Entry Level Hedge Fund Software Engineer jobs? States with the most job openings for Entry Level Hedge Fund Software Engineer jobs include:
Entry Level Hedge Fund Software Engineer jobs near you

Quantitative Macro Strat for a World Leading Hedge Fund

Quanta Search

Manhattan, NY

Other

Posted 2 days ago

Job description

Our client (a world leading hedge fund) seeks a Quantitative Macro Strat.
Responsibilities:
You will be involved in all facets of the investment process: portfolio design and refinement, creating and validating predictive hypotheses, expanding models to encompass more assets, and aiding in the conception of products employing these models.
Requirements:- Candidates must be graduates from top-tier universities and should have achieved top-class rankings. Technical majors (mathematics, computer science, physics, statistics, engineering, etc.) only.
- Proven expertise in using numerical and statistical methodologies to create robust trading indicators from market information, gained through experience in a buy-side company.

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