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Phd Probability Theory Jobs (NOW HIRING)

Trading Interview

Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate alphas * Execution: Propose improvements or optimize existing strategies

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How much do phd probability theory jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for phd probability theory in the United States is $29.44, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $32.93 per hour, depending on experience, location, and employer.

What is the difference between Phd Probability Theory vs Data Scientist?

AspectPhd Probability TheoryData Scientist
Required CredentialsPhD in Mathematics, Statistics, or related fieldBachelor's or Master's in Computer Science, Statistics, or related field; some roles prefer PhD
Work EnvironmentAcademic, research institutions, or specialized industry R&DCorporate, tech companies, consulting firms, with focus on data analysis
Industry UsageResearch, academia, quantitative finance, specialized analyticsBusiness, marketing, product development, machine learning applications

While both roles involve advanced analytical skills, a Phd Probability Theory focuses on theoretical research and mathematical modeling, often in academia or specialized industries. Data Scientists apply statistical and machine learning techniques to solve practical business problems, often requiring a broader skill set including programming and data management.

What are popular job titles related to Phd Probability Theory jobs?

For Phd Probability Theory jobs, the most frequently searched job titles are:

Infographic showing various Phd Probability Theory job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 69% Full Time, 29% Part Time, and 1% Contract. Highlights an 65% Physical, 1% Hybrid, and 34% Remote job distribution, with an average salary of $61,245 per year, or $29.4 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 17 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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