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Game Theory Internship Jobs (NOW HIRING)

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

... game theory, technology, and fast-paced decision-making. The work spans quant trading, algorithmic ... internship, research, trading competition, or personal project experience is a plus but not ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

... game theory, technology, and fast-paced decision-making. The work spans quant trading, algorithmic ... internship, research, trading competition, or personal project experience is a plus but not ...

Strong National Museum

Archives Intern

Rochester, NY · On-site

$20/hr

There is a paid stipend associated with this internship, made possible through a grant from the ... Shorrock also ran Interactive Game Studios for IGT and currently consults on game development and ...

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Game Theory Internship information

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How much do game theory internship jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for game theory internship 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 is the difference between Game Theory Internship vs Data Analyst Internship?

AspectGame Theory InternshipData Analyst Internship
Required CredentialsRelevant coursework in game theory, mathematics, economicsStatistics, mathematics, data analysis skills
Work EnvironmentResearch-focused, academic or corporate R&D teamsBusiness, finance, tech companies analyzing data
Industry UsageEconomics, gaming, AI researchFinance, marketing, tech industries
Common Search IntentUnderstanding strategic decision-making rolesAnalyzing data to inform business decisions

In summary, a Game Theory Internship focuses on strategic decision-making models and economic theories, often within research or academic settings. In contrast, a Data Analyst Internship emphasizes data collection, analysis, and interpretation to support business strategies. Both roles require quantitative skills but serve different industry needs and work environments.

What types of projects or problems do interns typically work on during a game theory internship?

During a Game Theory Internship, interns often work on applying mathematical models and strategic analysis to real-world scenarios, such as optimizing algorithms, designing fair allocation mechanisms, or analyzing competitive behaviors in marketplaces. These projects may involve both theoretical research and practical implementation, frequently requiring collaboration with data scientists, economists, or software engineers. Interns are also expected to contribute to ongoing team discussions, present their findings, and sometimes help develop prototypes or simulations based on their analyses.

What is a game theory internship?

A Game Theory Internship is a temporary position, often for students or recent graduates, where you work with professionals to apply mathematical models of strategic interaction to real-world scenarios. Interns may assist in research, data analysis, simulations, and the development of algorithms that use game theory principles. These internships are commonly found in academic, tech, finance, or consulting settings. The experience helps interns gain practical skills and a deeper understanding of how game theory is used to solve complex problems in various industries.

What are the key skills and qualifications needed to thrive as a game theory intern, and why are they important?

To thrive as a Game Theory Intern, you need a solid background in mathematics, economics, or computer science, with coursework or research in game theory and related analytical methods. Familiarity with programming languages such as Python or MATLAB, as well as experience with simulation tools and data analysis software, is highly valuable. Strong problem-solving abilities, critical thinking, and effective collaboration set standout candidates apart. These skills enable interns to contribute meaningfully to research or applied projects, analyze complex systems, and communicate findings clearly within interdisciplinary teams.
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Game Theory Internship jobs near you
Infographic showing various Game Theory Internship job openings in the United States as of August 2026, with employment types broken down into 8% Internship, 1% As Needed, 65% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Quantitative Trading Intern

WallStreetQuants

Miami, FL • On-site

Internship

Posted 25 days ago

Job description

A proprietary trading firm based in Miami is seeking a highly motivated Quantitative Trading Intern to join the team as an intern. In this role, you will apply analytical thinking and market intuition to pricing, execution, and risk decisions as part of the firm's quantitative trading team.

This is an ideal opportunity for students and recent graduates who are passionate about financial markets, probability, game theory, technology, and fast-paced decision-making. The work spans quant trading, algorithmic trading, market making, probability, execution, and risk management. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern strategies, models, and trading systems are designed, tested, and implemented.

The team is small, technical, and collaborative, with direct access to experienced traders, quantitative researchers, engineers, high-quality market data, and modern research infrastructure.

This is an on-site opportunity based in Miami, United States.

Requirements

Responsibilities

- Analyze trading scenarios, pricing behavior, and risk tradeoffs.

- Build small research tools for market and strategy review.

- Practice clear reasoning under uncertainty.

- Monitor and analyze real-time market data to identify trading opportunities.

- Support the development, testing, and refinement of quantitative trading strategies.

- Make fast, data-informed trading decisions while managing risk.

- Conduct statistical analysis on historical and live market data.

- Evaluate market microstructure, liquidity, volatility, and other drivers of price movement.

- Participate in trading simulations, training programs, and strategy review sessions.

- Communicate trade ideas, risks, and performance insights clearly to the team.

- Continuously improve decision-making through feedback, research, and post-trade analysis.

Qualifications

- Current student from any degree discipline with strong numerical and analytical reasoning.

- Comfort with probability, mental math, coding, or strategy games.

- Interest in learning trading and market making; no prior quant or finance experience is required.

- Currently enrolled in any degree discipline and interested in building practical analytical skills.

- Evidence of curiosity and problem-solving through coursework, employment, projects, competitions, hobbies, or self-study.

- Strong quantitative, analytical, and problem-solving skills.

- Interest in financial markets, trading, probability, strategy games, or competitive problem-solving.

- Ability to make decisions quickly and remain calm under pressure.

- Strong attention to detail, intellectual curiosity, and a disciplined approach to risk.

- Programming experience in Python or a similar language is preferred.

- Prior internship, research, trading competition, or personal project experience is a plus but not required.

- Applicants from every degree discipline are welcome.

- No prior quantitative finance, trading, or investment-industry experience is required.

- Strong attention to detail, intellectual curiosity, and a commitment to continuous improvement.

- Excellent communication and teamwork skills.

Ideal Candidate

The ideal candidate is intellectually curious, competitive, numerically strong, and comfortable making decisions with incomplete information. You enjoy solving complex problems, thinking strategically, learning from feedback, and working in a fast-moving environment where performance and precision matter.

Benefits

What We Offer

- Comprehensive training in trading, market structure, risk management, and quantitative strategy development.

- Mentorship from experienced quantitative traders, researchers, engineers, and technologists.

- Exposure to live markets, real financial datasets, and the full path from idea to implementation.

- A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.

- Opportunities for rapid growth based on performance, ownership, and measurable impact.

- Competitive compensation and a benefits package aligned with the employer and location.