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Phd Physics Hedge Fund Jobs (NOW HIRING)

Jain Global

Data Engineer - New York

New York, NY · On-site

$125K - $150K/yr

... pace of hedge fund operations. Source, analyze, clean, and enrich relevant data; iterate with ... BSc/MSc/PhD in Computer Science, Physics, Engineering or similar and 4+ years financial industry ...

Jain Global

Data Engineer - New York

New York, NY

$125K - $150K/yr

... pace of hedge fund operations. Source, analyze, clean, and enrich relevant data; iterate with ... BSc/MSc/PhD in Computer Science, Physics, Engineering or similar and 4+ years financial industry ...

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Phd Physics Hedge Fund information

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$39K

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$52.5K

How much do phd physics hedge fund jobs pay per year?

As of Aug 16, 2026, the average yearly pay for phd physics hedge fund in the United States is $46,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $50,500.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a PhD physicist at a hedge fund?

To thrive as a PhD physicist at a hedge fund, you need advanced quantitative skills, strong analytical abilities, and a doctoral degree in physics or a related quantitative field. Familiarity with programming languages such as Python, C++, or MATLAB, as well as experience with data analysis platforms and financial modeling tools, is highly valued. Exceptional problem-solving skills, intellectual curiosity, and the ability to communicate complex concepts clearly make candidates stand out. These skills are essential for developing and implementing innovative trading strategies, analyzing large data sets, and driving profitable investments in a highly competitive environment.

What does a PhD physicist do at a hedge fund?

PhD physicists at hedge funds typically work as quantitative analysts or researchers, applying their advanced mathematical, statistical, and programming skills to develop and refine trading strategies. They analyze large datasets, build financial models, and use their expertise in problem-solving to identify market patterns and opportunities. Their strong background in scientific research makes them valuable for tackling complex financial problems and contributing to a hedge fund's competitive edge.

What is the difference between Phd Physics Hedge Fund vs Quantitative Research Analyst?

AspectPhd Physics Hedge FundQuantitative Research Analyst
Required CredentialsPhD in Physics often preferred; strong quantitative skillsTypically requires a degree in Math, Statistics, or related field; advanced quantitative skills
Work EnvironmentHigh-pressure finance setting, focus on trading strategiesFinancial firms, research-driven, collaborative environment
Industry UsageCommon in hedge funds, proprietary trading firmsWidely used in investment banks, asset management firms

Both roles require strong quantitative backgrounds and analytical skills. A Phd Physics Hedge Fund professional focuses on developing trading strategies using physics-based models, while a Quantitative Research Analyst applies statistical and mathematical models to investment decisions. The main difference lies in their specific application within the finance industry, but both roles demand advanced technical expertise and work in fast-paced financial environments.

Do physics PhDs work in finance?

Physics PhDs often work in finance, particularly in roles such as quantitative analysts, risk managers, and algorithmic traders, where strong mathematical and analytical skills are essential. They frequently utilize programming languages like Python or C++ and may pursue certifications like CFA or FRM to enhance their finance expertise.

Do hedge funds hire PhDs?

Hedge funds often hire PhDs, especially in quantitative roles such as quantitative analysts, researchers, and traders, due to their advanced skills in mathematics, programming, and data analysis. PhDs in physics are valued for their problem-solving abilities and expertise in modeling complex systems, which are applicable in developing trading algorithms and risk management strategies.
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Phd Physics Hedge Fund jobs near you
Infographic showing various Phd Physics Hedge Fund job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $46,902 per year, or $22.5 per hour.

Algorithmic Trading Developer at Hedge Fund

Domeyard LP

Boston, MA • On-site

Full-time

Medical, Dental

Re-posted 29 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