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Phd Probability Theory Jobs (NOW HIRING)

General Atomics

Software Developer IV

Beavercreek, OH · On-site

$96K - $172K/yr

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

Overland AI

Software Engineer, Machine Learning

Seattle, WA · On-site

$120K - $300K/yr

MS/PhD with publications in top-tier ML/CV venues (ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV), OR ... Excellent linear algebra, probability theory, and optimization knowledge. * Extensive experience in ...

Vanguard Group

Principal AI/ML Engineer

Malvern, PA · On-site

... probability theory, and machine learning concepts to create self-running artificial intelligence ... Advanced degree (Post Doctorate or PhD or Master's in Computer Science, AI, Data Science or related ...

Vangard, Inc.

Principal AI/ML Engineer

Malvern, PA · On-site

... probability theory, and machine learning concepts to create self-running artificial intelligence ... Advanced degree (Post Doctorate or PhD or Master's in Computer Science, AI, Data Science or related ...

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All JobsPhd Probability Theory Jobs

Phd Probability Theory information

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$15

$29

$39

How much do phd probability theory jobs pay per hour?

As of Jun 10, 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.

Infographic showing various Phd Probability Theory job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $61,245 per year, or $29.4 per hour.
Quantitative Systematic Trader - PhD: 2026

Quantitative Systematic Trader - PhD: 2026

Susquehanna International Group, LLP

New York, NY • On-site

$300K/yr

Internship

Posted 18 days ago

Job description

Overview
As a Quantitative Systematic Trader at Susquehanna, you'll combine quantitative research expertise with deep trading intuition to build and refine data-driven, fully automated trading strategies. You'll actively monitor real-time strategy performance and use market behavior and feedback to improve and optimize profitability. Serving as a hybrid between traders and researchers, Quantitative Systematic Traders focus more on alpha monetization, execution efficiency, and live trading performance.
What you can expect
  • Modelling. Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior
  • Alpha Monetization. Blend quantitative signals with trading intuition and live market insights to optimize existing strategies or build new ones from the ground up
  • Risk Management. Oversee the deployment and real-time operation of trading strategies, fine-tune parameters, and respond to anomalies as needed
  • 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 researchers and technologists to build parts of the execution engine

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
  • Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition

By applying to this role, you will be automatically considered for the Quantitative Research 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.
Visa sponsorship is available for this position.
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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