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Math Phd Intern Jobs (NOW HIRING)

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Optiver

Quantitative Research Intern (PhD)

Chicago, IL · On-site

$80K - $90K/yr

Currently enrolled in a PhD program in Mathematics, Statistics, Computer Science, Physics or a ... Available to intern during Summer 2026 * Open to full-time opportunities upon graduation in 2027 or ...

Optiver

Quantitative Research Intern PhD

Chicago, IL · On-site

$80K - $90K/yr

Currently enrolled in a PhD program in Mathematics, Statistics, Computer Science, Physics or a ... Available to intern during Summer 2026 * Open to full-time opportunities upon graduation in 2027 or ...

Instacart

OR

Ph.D. student in computer science, mathematics, statistics, economics, or related areas. * Strong programming (Python, Golang) and algorithmic skills. * Solid foundations in machine learning ...

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How much do math phd intern jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for math phd intern in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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

To thrive as a Math PhD Intern, you need advanced mathematical knowledge, strong analytical skills, and progress toward a PhD in mathematics or a related field. Familiarity with programming languages like Python or MATLAB, statistical software, and mathematical modeling tools is often required. Excellent problem-solving abilities, communication skills, and the capacity to collaborate with interdisciplinary teams set exceptional candidates apart. These competencies enable interns to contribute meaningful research, interpret complex data, and effectively share their findings in research or industry settings.

How do Math PhD Interns typically contribute to research projects within an organization?

Math PhD Interns are often brought on to support ongoing research by tackling complex mathematical problems, developing algorithms, or performing data analysis. They usually work closely with senior researchers and interdisciplinary teams, contributing their specialized knowledge to advance project goals. Interns may also present their findings, participate in collaborative problem-solving sessions, and sometimes co-author technical reports or papers. This hands-on experience can be both challenging and rewarding, offering valuable exposure to applied research in a professional setting.

What does a Math PhD intern do?

A Math PhD intern typically applies advanced mathematical theories and techniques to real-world problems in industry or research settings. Their work may involve data analysis, algorithm development, modeling, or theoretical research, depending on the company or institution. Interns often collaborate with teams of scientists, engineers, or analysts, contributing their expertise to projects and gaining practical experience beyond academia. This role helps bridge the gap between academic mathematics and its applications in technology, finance, engineering, or other fields.
Infographic showing various Math Phd Intern job openings in the United States as of July 2026, with employment types broken down into 18% Internship, 1% As Needed, 50% Full Time, 28% Part Time, 2% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Quantitative Research - PhD Intern (Australia)

Quantitative Research - PhD Intern (Australia)

Citadel

Miami, FL • On-site

Other

Posted 2 days ago

New

Job description

Job Description
At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.
As an intern, you'll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship.
Your Objectives
  • Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code
  • Back test and implement trading models and signals in a live trading environment
  • Use unconventional data sources to drive innovation
  • Conduct research and statistical analysis to build and refine monetization systems for trading signals
Your Skills & Talents
  • PhD in mathematics, statistics, physics, computer science, or another highly quantitative field
  • Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
  • Prior experience working in a data driven research environment
  • Experience with translating mathematical models and algorithms into code (Python, R or C++)
  • Independent research experience
  • Ability to manage multiple tasks and thrive in a fast-paced team environment
  • Excellent analytical skills, with strong attention to detail

Opportunities available in Sydney.
About Citadel Securities
Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .

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