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Quantitative Researcher Intern Jobs (NOW HIRING)

You'll learn how quantitative research, data, technology, and AI-enabled tools come together to ... Available to intern during Summer 2027. * Open to full-time opportunities upon graduation. * Strong ...

You'll learn how quantitative research, data, technology, and AI-enabled tools come together to ... Available to intern during Summer 2027. * Open to full-time opportunities upon graduation. * Strong ...

This is an opportunity for students and researchers of advanced data modeling and statistical ... MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative ...

This is an opportunity for students and researchers of advanced data modeling and statistical ... MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative ...

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Quantitative Researcher Intern information

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How much do quantitative researcher intern jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for quantitative researcher intern in the United States is $18.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Quantitative Researcher Intern vs Quantitative Analyst Intern?

AspectQuantitative Researcher InternQuantitative Analyst Intern
Required CredentialsTypically pursuing or holding a degree in finance, economics, mathematics, or related fieldsSimilar educational background, often with a focus on finance or data analysis
Work EnvironmentResearch-focused, often in financial firms, hedge funds, or asset management companiesData analysis and modeling in financial institutions, investment banks, or asset managers
Employer & Industry UsageCommonly used in quantitative finance, hedge funds, and trading firmsWidely used in finance, banking, and investment sectors

Both roles involve working with data and financial models, but Quantitative Researcher Interns focus more on developing new strategies and models, while Quantitative Analyst Interns typically analyze existing data to support trading decisions. The roles often overlap in skills and industry, but differ slightly in focus and responsibilities.

What does a Quantitative Researcher Intern do?

A Quantitative Researcher Intern typically works with data analysis, statistical modeling, and algorithm development to support trading or investment strategies in finance and technology firms. They collaborate with experienced researchers to collect data, run simulations, and test hypotheses using programming languages like Python, R, or MATLAB. The role often involves applying mathematical and statistical techniques to solve real-world problems and gain actionable insights. Interns gain hands-on experience in quantitative research while contributing to the team’s projects and learning about the industry.

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

To thrive as a Quantitative Researcher Intern, you need strong analytical skills, a solid background in mathematics or statistics, and progress toward a relevant degree such as in math, physics, computer science, or engineering. Familiarity with programming languages like Python, R, or MATLAB, and experience using statistical analysis software are typically required. Critical thinking, problem-solving ability, and effective communication skills help you interpret data and collaborate with team members. These capabilities are essential for analyzing complex datasets, generating actionable insights, and contributing effectively to research projects.

What does a typical project look like for a Quantitative Researcher Intern, and how much autonomy can I expect?

As a Quantitative Researcher Intern, you will usually work on data-driven research projects that involve formulating hypotheses, developing models, and analyzing large datasets to identify trends or inefficiencies in financial markets. While you'll receive guidance and mentorship from experienced researchers, interns are often encouraged to take ownership of their projects, contribute ideas, and present findings. Collaboration with other interns, software engineers, and traders is common, promoting both learning and impact. The level of autonomy depends on your experience and the firm's structure, but proactive interns often find opportunities to drive meaningful research.
More about Quantitative Researcher Intern jobs
What cities are hiring for Quantitative Researcher Intern jobs? Cities with the most Quantitative Researcher Intern job openings:
What are the most commonly searched types of Quantitative Researcher jobs? The most popular types of Quantitative Researcher jobs are:
What states have the most Quantitative Researcher Intern jobs? States with the most job openings for Quantitative Researcher Intern jobs include:
Infographic showing various Quantitative Researcher 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 $38,082 per year, or $18.3 per hour.

Quantitative Research Intern, PhD (Summer 2027)

Optiver

Chicago, IL • On-site, Remote

Other

Posted 7 days ago


Job description

As a Quantitative Research Intern, you'll work alongside researchers, engineers, and traders to tackle some of the most challenging quantitative problems in global financial markets. You'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to uncover patterns in market behavior. AI-driven research at Optiver is where competitive advantage is built, transforming ideas, models, and insights into trading strategies that operate in live markets. 

This opportunity is also available in our Austin office.

What You'll Do: 

Led by our dedicated Education team, you'll build a strong foundation in market structure and options theory. This internship follows an apprentice-style learning model where you'll work alongside an experienced researcher and contribute to a project that's aligned with current business needs. Throughout the internship, you'll gain exposure to the AI tools and technologies that support research and development across the business, with the opportunity to contribute to several key areas: 

  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities 
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance 
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management 
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency 

What You'll Get:  

You'll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, you'll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions. 

In addition, you'll receive: 

  • The opportunity to work alongside best-in-class professionals from over 40 different countries 
  • The opportunity to earn a return internship or full-time offer in Chicago, Austin, or New York City based on performance  
  • A highly-competitive internship compensation package 
  • Optiver-covered flights, living accommodations, and commuting stipends  
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more 

What To Expect

As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, you'll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive an internship offer. 

Who You Are: 

  • Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with outstanding academic performance 
  • Expected graduation betweenDecember 2027 - June 2029 and available to intern during Summer 2027 
  • Open to full-time opportunities upon graduation in 2028 or 2029 
  • Solid foundation in mathematics, probability, and statistics 
  • Excellent research, analytical, and modeling skills 
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making 
  • Proficiency in any programming language 
  • Strong interest in working in a fast-paced, collaborative environment 
  • Fluent in English with strong written and verbal communication skills 

Who We Are:  

Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company. 

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.  

Optiver is supportive of US immigration sponsorship for this role. 

*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.