ZipRecruiter

Log In

2

Entry Level Hedge Fund Software Engineer Jobs (NOW HIRING)

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 ...

G MASS

Information Barriers Consultant

New York, NY · On-site

$1.0K - $1.1K/day

... engineers and technology teams on systems and access management, and organised enough to manage a ... Own the end-to-end management of the firm's information barrier controls across both the hedge fund ...

G MASS

Information Barriers Consultant

New York, NY · On-site

$1.0K - $1.1K/day

... engineers and technology teams on systems and access management, and organised enough to manage a ... Own the end-to-end management of the firm's information barrier controls across both the hedge fund ...

G MASS

Information Barriers Consultant

New York, NY · On-site

$1.0K - $1.1K/day

... engineers and technology teams on systems and access management, and organised enough to manage a ... Own the end-to-end management of the firm's information barrier controls across both the hedge fund ...

RFA Engineering

Entry Level Software Engineer

Dubuque, IA · On-site

$65K - $90K/yr

... Entry Level Software Engineer This position is associated with the design and development of embedded software that controls machine operations and functions. Various development roles are available ...

next page

Showing results 1-20

All JobsHedge Fund Software Engineer JobsEntry Level Hedge Fund Software Engineer Jobs

Entry Level Hedge Fund Software Engineer information

See salary details

$24K

$104.9K

$189K

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

As of Jul 12, 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
L/S Equity - Sector Data Science

L/S Equity - Sector Data Science

Verition Group LLC

New York, NY • On-site

Full-time

Posted 25 days ago

Job description

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
We are seeking a highly motivated and technically strong Data Scientist to join the centralized Long/Short Equity team at a leading multi-strategy hedge fund. This team partners directly with portfolio managers and analysts across the L/S Equity business to identify, evaluate, and deploy data-driven insights that enhance investment decision-making and alpha generation.
The ideal candidate will combine strong technical and analytical capabilities with a practical understanding of financial markets. This role will focus on sourcing, analyzing, and operationalizing alternative and traditional datasets, building research tools, and developing scalable analytical frameworks that support discretionary equity investing.
Key Responsibilities:
  • Analyze large structured and unstructured datasets to identify predictive signals and investment insights for L/S Equity portfolio managers.
  • Source, evaluate, and onboard alternative datasets relevant to equity investing, including consumer, transactional, web, geolocation, sentiment, and fundamental datasets.
  • Work closely with portfolio managers, analysts, and sector teams to understand investment processes and develop tailored data-driven solutions.
  • Apply statistical techniques and machine learning methods where appropriate to improve signal generation, company analysis, and portfolio insights.
  • Create dashboards, visualizations, and reporting tools that enable PMs and analysts to consume data effectively and make faster investment decisions.

Required Qualifications:
  • 2+ years of experience in data science, quantitative research, or data analytics within a hedge fund, asset manager, investment bank, or technology-focused environment.
  • Strong proficiency in Python, including experience with libraries such as pandas, NumPy, scikit-learn, and related data science tools.
  • Experience working with large datasets, SQL databases, APIs, and modern data processing frameworks.
  • Understanding of equity markets and investment workflows, ideally within a long/short equity investing environment a plus but not required
  • Strong problem-solving and critical thinking abilities with a demonstrated ability to derive actionable insights from complex datasets.
  • Ability to communicate findings clearly to both technical and non-technical stakeholders, including portfolio managers and investment analysts.
  • Exposure to generative AI tooling for investment research workflows.
  • Knowledge of software engineering best practices, including version control and CI/CD workflows.

Apply