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Phd Probability Theory Jobs (NOW HIRING)

Trading Interview

Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior * Alpha Monetization. Blend quantitative signals with trading intuition and ...

General Atomics

Software Developer IV

Beavercreek, OH · On-site

Typically requires a bachelors degree, masters degree or PhD in computer science, information ... probability theory, obstacle avoidance, bio-inspired autonomy, perceptual autonomy, autonomous ...

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

... probability theory, and machine learning using both general purpose software and statistical ... Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field * 5 years of ...

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Phd Probability Theory information

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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 Researcher - PhD: 2027

Manhattan, NY • On-site

Susquehanna International Group, LLP
Finance and Insurance • 1 - 5K employees
Learn more about Susquehanna International Group, LLPexternal

$300K/yr

Other

Re-posted 15 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.

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