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Phd Quant Jobs (NOW HIRING)

Akuna Capital

Quant Strategist

Chicago, IL · On-site

$145K/yr

Bachelor's, Master's, or PhD degree in a technical field, such as Engineering, Computer Science ... in a quantitative or programming role, preferably within the finance or trading sectors.

Akuna Capital

Quant Strategist

Chicago, IL

$145K/yr

Bachelor's, Master's, or PhD degree in a technical field, such as Engineering, Computer Science ... in a quantitative or programming role, preferably within the finance or trading sectors.

IMC

Quantitative Researcher - Options

Chicago, IL

Ms or PhD in a highly quantitative field * At least 5 years in financial services or a quantitative environment * Experience in project or people management * Strong programming skills, Python, Java ...

Crypto.com

Quant Researcher, OEX

$100K - $230K/yr

Master or PhD in a quantitative discipline (e.g., math, physics, statistics, engineering, computer science, financial engineering, quantitative finance, etc.). * Proficient in Python and SQL or noSQL ...

Crypto.com

Quant Researcher, OEX

Charleston, WV · Remote

Master or PhD in a quantitative discipline (e.g., math, physics, statistics, engineering, computer science, financial engineering, quantitative finance, etc.). * Proficient in Python and SQL or noSQL ...

TriOptus LLC

UX Researcher- Quant

Jersey City, NJ · On-site

Quantitative UX Researcher (T&M Contractor) Contract: 12 months on W2 Location: NY and Jersey City ... or PhD degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology ...

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Phd Quant information

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$98K

$169.7K

$259.5K

How much do phd quant jobs pay per year?

As of Jun 25, 2026, the average yearly pay for phd 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 is a PhD Quant?

A PhD Quant, short for Quantitative Analyst with a PhD, is a professional who uses advanced mathematical, statistical, and computational techniques to analyze financial markets and develop complex models for trading, risk management, or investment strategies. They typically work in banks, hedge funds, or financial technology firms. PhD Quants leverage their deep expertise in fields like mathematics, physics, computer science, or engineering to solve challenging problems and gain insights that drive financial decision-making. Their work often involves programming, data analysis, and the implementation of quantitative models.

What are the typical collaboration dynamics for a PhD Quant within a financial institution?

PhD Quants frequently work in close collaboration with traders, risk managers, and software engineers to develop and implement quantitative models for pricing, risk assessment, and trading strategies. While a significant portion of the work involves independent research and model development, regular meetings and cross-functional teamwork are essential to ensure models align with business objectives and regulatory requirements. Effective communication skills are important, as PhD Quants often need to explain complex mathematical concepts to colleagues with varying technical backgrounds.

What are the key skills and qualifications needed to thrive as a PhD Quant, and why are they important?

To thrive as a PhD Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a PhD in a quantitative field such as mathematics, physics, finance, or engineering. Expertise in technical tools such as Python, C++, R, and experience with statistical modeling systems and quantitative finance libraries is expected. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills in this role. These skills and qualities are crucial for developing complex models, interpreting data accurately, and collaborating across multidisciplinary teams in high-stakes financial environments.

What is the difference between Phd Quant vs Quant Analyst?

AspectPhd QuantQuant Analyst
Required CredentialsPhD in Mathematics, Statistics, or related fieldBachelor's or Master's degree, often with quantitative skills
Work EnvironmentResearch-focused, often in finance or hedge fundsTrading floors, financial institutions, or asset management firms
Industry UsagePrimarily in hedge funds, investment banks, and proprietary tradingIn asset management, hedge funds, and banks

The main difference between a Phd Quant and a Quant Analyst lies in their educational background and focus. Phd Quants typically hold doctoral degrees and focus on developing complex models and research, while Quant Analysts often have master's or bachelor's degrees and focus on applying models to trading strategies. Both roles are integral to quantitative finance but differ in scope and depth of research.

More about Phd Quant jobs
What cities are hiring for Phd Quant jobs? Cities with the most Phd Quant job openings:
What states have the most Phd Quant jobs? States with the most job openings for Phd Quant jobs include:
What job categories do people searching Phd Quant jobs look for? The top searched job categories for Phd Quant jobs are:
Phd Quant jobs near you
Infographic showing various Phd Quant job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Quantitative Researcher - PhD: 2026

Quantitative Researcher - PhD: 2026

Susquehanna International Group, LLP

New York, NY • On-site

$300K/yr

Full-time

Posted 4 days ago

Job description

Overview
As a Quantitative Researcher at Susquehanna, you'll blend strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, quantitative researchers typically focus more on model development, robustness, and long-term reliability.
What you can expect
  • Modelling: Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate alphas.
  • Execution: Propose improvements or optimize existing strategies
  • Evaluation: Backtest ideas using historical market data and large research clusters
  • Education: Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth
  • Collaboration: Work in an open environment that allows you to collaborate with systematic traders and technologists to push strategies into production

What we're looking for
  • PhDs graduating by Summer 2026 or postdocs in quantitative fields such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment
  • Visa sponsorship is available for this position

By applying to this role, you will be automatically considered for the Quantitative Systematic Trader position. There is no need to apply to both positions to be considered for both.
Opportunities as a Quantitative Researcher and as a Quantitative Systematic Trader will be available in our Philadelphia and New York offices.
The annual base pay for this role is $300,000. Susquehanna considers factors such as scope and responsibilities of the position, work experience, education/training, key skills, as well as market and organizational considerations when extending an offer.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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