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Phd Quant Trading Jobs (NOW HIRING)

Susquehanna

$8.6K/wk

Breadth. Explore all aspects of quant work and different areas of Susquehanna's business ... PhD quantitative systematic trading interns will receive a $8600 weekly base salary during the ten ...

Citadel Securities

$4.5K - $5.8K/wk

Specifically, this team develops and tests automated quant trading strategies using sophisticated ... PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative ...

Citadel Securities

$4.5K - $5.8K/wk

Specifically, this team develops and tests automated quant trading strategies using sophisticated ... PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative ...

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Phd Quant Trading information

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$98K

$169.7K

$259.5K

How much do phd quant trading jobs pay per year?

As of Sep 10, 2026, the average yearly pay for phd quant trading 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 trader?

A PhD Quant Trader is a quantitative analyst with a doctoral degree, typically in fields like mathematics, physics, engineering, or computer science, who develops and implements complex trading strategies using mathematical models and statistical analysis. These professionals work for investment banks, hedge funds, or proprietary trading firms, leveraging their advanced analytical skills to identify profitable trading opportunities in financial markets. Their work often involves programming, data analysis, and researching new algorithms to gain a competitive edge. The combination of a PhD-level education and quantitative trading expertise allows them to tackle highly complex problems and contribute to the success of trading operations.

What are the key skills and qualifications needed to thrive as a PhD quant trader?

To thrive as a PhD Quantitative Trader, you need advanced quantitative and analytical skills, a strong background in mathematics, statistics, or physics, and typically a PhD in a quantitative discipline. Expertise in programming languages such as Python, C++, or R, along with familiarity with trading platforms and financial modeling tools, is essential. Critical thinking, problem-solving ability, and effective communication skills help you collaborate with teams and quickly adapt to changing markets. These skills and qualities are crucial for developing and executing profitable trading strategies in highly competitive and data-driven financial environments.

What kinds of collaboration can a PhD quant trader expect with other teams or departments?

As a PhD Quant Trader, you can expect frequent collaboration with software engineers, data scientists, and risk management professionals. Much of your work involves sharing quantitative models and insights with developers for implementation and discussing trading strategies with portfolio managers. Effective communication is crucial, as you'll often need to explain complex mathematical models to colleagues with different backgrounds. This cross-functional teamwork not only enhances trading performance but also provides opportunities to broaden your skill set and understanding of the business.

What is the difference between Phd Quant Trading vs Quant Analyst?

AspectPhd Quant TradingQuant Analyst
Required CredentialsPhD in Mathematics, Physics, or related fieldBachelor's or Master's in Finance, Math, or related field
Work EnvironmentResearch-driven, algorithm development, trading strategy implementationData analysis, model development, reporting
Employer & Industry UsageHedge funds, proprietary trading firms, investment banksAsset management firms, hedge funds, banks

Phd Quant Trading professionals typically hold advanced degrees and focus on developing and implementing trading algorithms, often working in research-heavy environments. Quant Analysts usually have bachelor's or master's degrees and focus on analyzing data and supporting trading strategies. Both roles are integral to quantitative finance but differ mainly in educational requirements and daily responsibilities.

What are popular job titles related to Phd Quant Trading jobs?

For Phd Quant Trading jobs, the most frequently searched job titles are:

Infographic showing various Phd Quant Trading job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Systematic Trading Internship - PhD: Summer 2027

Bronx, NY

Susquehanna
See more jobs at Susquehannaexternal

$8.6K/wk

Full-time, Temporary, Internship

Posted 15 days ago

Job description

Overview

As a Quantitative Systematic Trading Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.

What you can expect

  • Modelling. Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution. Create strategies to execute on modelling ideas under simulated competition
  • Evaluation. Backtest ideas using historical market data and revise strategies
  • Breadth. Explore all aspects of quant work and different areas of Susquehanna's business
  • Education. Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration. Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.

What we're looking for

  • PhDs (in penultimate or final year) 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

By applying to this role, you will be automatically considered for the Quantitative Research Internship program. There is no need to apply to both positions to be considered for both.

Opportunities as a quantitative systematic trading intern will be available in our Philadelphia and New York offices.

PhD quantitative systematic trading interns will receive a $8600 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.

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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