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Quantitative Hedge Fund information

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$98K

$169.7K

$259.5K

How much do quantitative hedge fund jobs pay per year?

As of Jul 28, 2026, the average yearly pay for quantitative hedge fund 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.

Do hedge funds hire quants?

Yes, hedge funds frequently hire quantitative analysts, or quants, to develop trading algorithms, model financial data, and improve investment strategies. Quants typically have strong backgrounds in mathematics, programming, and finance, and often use tools like Python, R, or MATLAB. Their role is essential in data-driven decision-making within hedge funds.

What is the difference between Quantitative Hedge Fund vs Quantitative Analyst?

AspectQuantitative Hedge FundQuantitative Analyst
Primary RoleManage investment strategies using quantitative modelsDevelop and implement quantitative models for various financial applications
Work EnvironmentHedge fund firms, fast-paced, high-pressureFinancial institutions, research labs, investment firms
Required CredentialsDegree in math, finance, or related; often advanced degreesDegree in math, finance, or related; often advanced degrees
Industry UsageCommon in hedge funds and asset managementWidespread across finance, banking, and investment firms

While both roles require strong quantitative skills and similar educational backgrounds, a Quantitative Hedge Fund focuses on managing investment strategies within a hedge fund environment, whereas a Quantitative Analyst develops models used across various financial sectors. The hedge fund role is more investment-oriented, while the analyst role emphasizes model development and analysis.

What is a quantitative hedge fund?

A quantitative hedge fund is a type of investment fund that uses mathematical models, algorithms, and statistical techniques to identify trading opportunities and manage risk. Professionals working in these funds often have strong backgrounds in mathematics, computer science, and finance, and they utilize advanced software and data analysis tools to execute strategies. The goal is to generate high returns through data-driven decision-making and automated trading systems.

What are the key skills and qualifications needed to thrive as a Quantitative Hedge Fund Analyst, and why are they important?

To thrive as a Quantitative Hedge Fund Analyst, you need advanced mathematical, statistical, and programming skills, often supported by a degree in quantitative fields such as mathematics, finance, computer science, or engineering. Familiarity with programming languages like Python, R, or C++, and experience using financial modeling platforms and data analysis tools are typically required. Strong problem-solving ability, attention to detail, and effective communication are valued soft skills in this role. These competencies are crucial for developing profitable trading strategies, managing risk, and contributing to a collaborative, high-performance environment.

How much do quants make at hedge funds?

Quantitative analysts, or quants, at hedge funds typically earn base salaries ranging from $100,000 to $200,000 annually, with total compensation including bonuses often exceeding $500,000 and reaching into the millions for senior roles. Compensation depends on experience, performance, and the fund's size, with successful quants often receiving significant performance-based bonuses.

Is 40 too old to become a quant?

Age is not a strict barrier to becoming a quantitative hedge fund professional. Many quants have transitioned from different careers or gained relevant skills such as programming, mathematics, and finance through self-study or advanced degrees at various ages. Success depends on your skills, experience, and ability to adapt to the fast-paced, data-driven environment of quantitative finance.

What are some common challenges faced by professionals working at a quantitative hedge fund?

Professionals at quantitative hedge funds often encounter challenges such as rapidly adapting to changing market conditions, ensuring the robustness of complex algorithms, and managing vast sets of financial data with precision. Collaboration between researchers, developers, and traders is essential, as strategies must be rigorously tested and refined within multidisciplinary teams. Additionally, staying ahead of technological advancements and regulatory changes is crucial to maintaining a competitive edge in this fast-paced environment.
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Quantitative Hedge Fund jobs near you
Infographic showing various Quantitative Hedge Fund job openings in the United States as of July 2026, with employment types broken down into 45% Full Time, 15% Part Time, and 40% Contract. Highlights an 57% Physical, 2% Hybrid, and 41% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Quantitative Researcher at HFT Hedge Fund Algorithmic Trading Boston

Quantitative Researcher at HFT Hedge Fund Algorithmic Trading Boston

Domeyard LP

Boston, MA

Full-time

Posted 17 days ago

Job description

Company Description

Domeyard, LP is a quantitative hedge fund startup based in Boston, Massachusetts. We focus on developing low latency technologies to achieve extremely consistent, long-term capital growth enabling us to save millions of dollars for market investors each year. Our trading strategies are derived from the latest advances in high-performance computing and data analysis, making us one of the fastest market participants in the world. Domeyard operates around the clock, trading a diverse range of asset classes, including equities, futures, fixed income instruments, energy products and commodities. Innovation is our main differentiator: on any given day, we process more order messages than Google searches and Twitter messages combined. Our continuous pursuit of improvement to our technology enables us to uncover opportunities that are grossly inaccessible to mainstream fund managers and their investment vehicles. For its notable role in the industry, Domeyard is also the protagonist of Harvard Business School's first case study about high frequency trading. 


Job Description

Bonus! Apply through our website: http://grnh.se/83ospm

Bridging Mathematics and Low-Latency Trading

Domeyard is seeking a Quantitative Researcher with significant experience in developing low latency statistical arbitrage or market making strategies. You will be joining the core of a company with a single, monolithic HFT team. The ideal candidate is someone who is intellectually curious and loves solving mathematical problems - you might have considered pursuing an academic career at some point and you are looking at this job posting because you are enticed by the fast feedback loop in our field.

What you'll be doing:

  • Building low latency liquidity taking or market making strategies from end-to-end.
  • Developing mathematical models to solve difficult stochastic problems.
  • Analyzing convergence and boundedness properties of algorithms and estimates.
  • Translating your models to fast computational methods.
  • Collaborating with researchers and developers to implement all of the above.

You must meet both of these minimum requirements:

  • 3+ years work experience in high-frequency trading at a leading hedge fund or proprietary trading firm.
  • Experience with direct responsibility in construction of alpha signals or monetization for latency-sensitive, capacity-constrained strategies.


Qualifications

In addition, here are some of the attributes that we're looking for:

  • History of peer-reviewed publications in optimization, algorithms, statistics, numerical analysis, signal processing, operations research, or a related field.
  • Graduate-level degree in any scientific, mathematical or engineering discipline.
  • Programming experience with C++ in a UNIX-based environment.
  • Experience using data analysis tools in Python or R.
  • Intense passion for solving quantitative problems.
  • Recent track record with low variance in PnL at high % of ADV.
  • Working familiarity with low latency architecture.
  • Knowledge in futures, cash equities or cash FX markets.
Additional Information

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

http://grnh.se/83ospm

Apply