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Entry Level Hedge Fund Quant Jobs (NOW HIRING)

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Equity Derivatives Quant

Manhattan, NY

This position requires a PhD in a quantitative discipline and 3-7 years work experience with a investment bank or hedge fund involving analysis of equity derivatives. Requires programming skills (e.g.

iCapital

Fund Reporting - Analyst

New York, NY · On-site

$70K - $85K/yr

Prepare, analyze, and review quantitative fund and portfolio company performance information for ... Review the monthly hedge fund fact card reporting. * Draft wording for capital call and ...

iCapital

Fund Reporting - Analyst

Greenwich, CT · On-site

$70K - $85K/yr

Prepare, analyze, and review quantitative fund and portfolio company performance information for ... Review the monthly hedge fund fact card reporting. * Draft wording for capital call and ...

iCapital

Fund Reporting - Analyst

New York, NY · On-site +1

$70K - $90K/yr

Prepare, analyze, and review quantitative fund and portfolio company performance information for ... Review the monthly hedge fund fact card reporting. * Draft wording for capital call and ...

iCapital

Fund Reporting - Analyst

Greenwich, CT · On-site +1

$70K - $90K/yr

Prepare, analyze, and review quantitative fund and portfolio company performance information for ... Review the monthly hedge fund fact card reporting. * Draft wording for capital call and ...

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Entry Level Hedge Fund Quant information

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$98K

$169.7K

$259.5K

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

As of Jun 9, 2026, the average yearly pay for entry level hedge fund quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What does an entry level hedge fund quant do?

An entry level hedge fund quant, short for quantitative analyst, uses mathematical models and statistical techniques to analyze financial data and help develop trading strategies. Their responsibilities often include processing large data sets, running simulations, building and testing algorithms, and supporting portfolio managers with quantitative research. They typically work closely with more senior quants and traders, learning advanced techniques and gaining experience in financial markets. Strong programming skills and a background in mathematics, statistics, or related fields are usually required.

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

To thrive as an Entry Level Hedge Fund Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in quantitative fields such as mathematics, physics, engineering, or computer science. Familiarity with technical tools like Python, R, MATLAB, and experience with data analysis platforms or financial modeling software is often expected. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for translating complex data into actionable investment strategies. These skills are vital for developing, testing, and implementing quantitative models that drive successful trading and risk management decisions in a competitive finance environment.

What are some common challenges faced by entry level quants at hedge funds, and how can I prepare for them?

Entry level hedge fund quants often encounter challenges such as adapting to the fast-paced environment, understanding complex financial instruments, and working with large datasets under tight deadlines. You may also need to quickly learn proprietary tools and collaborate closely with traders, portfolio managers, and senior quants. To prepare, focus on strengthening your programming (Python, R, or C++), statistical analysis, and communication skills, and be ready to learn from feedback while managing multiple priorities. Being proactive about seeking mentorship and continuously improving your technical expertise will help you succeed and grow in this demanding but rewarding field.

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

AspectEntry Level Hedge Fund QuantEntry Level Quantitative Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; some firms prefer CFA or similar certificationsDegree in Math, Finance, or Computer Science; certifications like CFA are common but not mandatory
Work EnvironmentFast-paced hedge fund setting focused on trading strategies and risk managementFinancial institutions, investment banks, or asset management firms focusing on model development
Employer & Industry UsagePrimarily hedge funds, trading firmsInvestment banks, asset managers, hedge funds

Both roles require strong quantitative skills and similar educational backgrounds. The main difference lies in the work environment and focus: hedge fund quants typically work on trading strategies and risk management within hedge funds, while quantitative analysts often develop models for various financial institutions. Understanding these distinctions helps candidates target their job search effectively.

More about Entry Level Hedge Fund Quant jobs
What cities are hiring for Entry Level Hedge Fund Quant jobs? Cities with the most Entry Level Hedge Fund Quant job openings:
What are the most commonly searched types of Hedge Fund Quant jobs? The most popular types of Hedge Fund Quant jobs are:
What states have the most Entry Level Hedge Fund Quant jobs? States with the most job openings for Entry Level Hedge Fund Quant jobs include:
What job categories do people searching Entry Level Hedge Fund Quant jobs look for? The top searched job categories for Entry Level Hedge Fund Quant jobs are:
Entry Level Hedge Fund Quant jobs near you
Infographic showing various Entry Level Hedge Fund Quant job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $169,729 per year, or $81.6 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

Company 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