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Quantitative Trading Summer Intern Jobs (NOW HIRING)

An NYC based proprietary trading firm is seeking a motivated Quantitative Trader Intern to join our trading team. This internship is designed for students who are passionate about financial markets ...

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Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

An NYC based hedge fund is seeking a talented and motivated Quantitative Developer Intern to join their technology and trading team. This internship is ideal for students who enjoy building high ...

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

An NYC based hedge fund is seeking a talented and motivated Quantitative Developer Intern to join their technology and trading team. This internship is ideal for students who enjoy building high ...

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Quantitative Trading Summer Intern information

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How much do quantitative trading summer intern jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for quantitative trading summer intern in the United States is $19.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.63 per hour, depending on experience, location, and employer.

How to get a quant trader internship?

To secure a quantitative trading summer internship, candidates typically need strong quantitative skills in mathematics, programming (such as Python or C++), and understanding of financial markets. Relevant coursework, prior experience with data analysis, and proficiency in tools like Excel or MATLAB can improve chances, along with a solid academic record in a related field like finance, mathematics, or computer science.

What does a quant trading intern do?

A quantitative trading intern assists in developing and testing trading algorithms, analyzing financial data, and optimizing trading strategies. They often use programming languages like Python or C++ and work closely with traders and data scientists to support trading decisions during a summer internship program.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts and traders, often referred to as quants, for roles in their trading and risk management divisions. These positions typically require strong skills in mathematics, programming, and financial modeling, and may involve using tools like Python, R, or MATLAB. Internships and full-time roles are available for candidates with relevant academic backgrounds and experience in quantitative finance.

What are some common challenges faced by Quantitative Trading Summer Interns, and how can they be overcome?

Quantitative Trading Summer Interns often face the challenge of adapting quickly to fast-paced, data-driven environments where accuracy and speed are crucial. They may need to rapidly learn proprietary systems, understand complex algorithms, and interpret large volumes of market data. Collaborating effectively with senior traders, quants, and software engineers can also be demanding, as interns must communicate their ideas clearly and seek feedback proactively. To overcome these challenges, it’s helpful to ask questions early, take initiative in seeking out learning resources, and be open to constructive feedback from teammates.

What does a Quantitative Trading Summer Intern do?

A Quantitative Trading Summer Intern assists with developing and testing trading strategies using mathematical models and data analysis. Interns typically work with experienced traders and quantitative analysts to analyze financial markets, backtest strategies, and help optimize trading algorithms. The role often involves programming, statistical analysis, and learning about financial instruments. Interns gain hands-on experience in the fast-paced world of quantitative finance, preparing them for potential full-time roles in trading or quantitative research.

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

To thrive as a Quantitative Trading Summer Intern, you need strong quantitative and analytical skills, a background in mathematics, statistics, computer science, or a related field, and proficiency in programming languages such as Python or C++. Familiarity with data analysis tools, trading platforms, and possibly experience with financial modeling or machine learning libraries is highly valued. Exceptional problem-solving abilities, attention to detail, and strong communication skills help interns collaborate effectively and adapt in a fast-paced environment. These skills and qualities are crucial for analyzing large datasets, developing trading strategies, and contributing meaningfully to a competitive trading team.

What is the difference between Quantitative Trading Summer Intern vs Quantitative Research Summer Intern?

AspectQuantitative Trading Summer InternQuantitative Research Summer Intern
Required CredentialsUndergraduate or Master’s in Math, CS, or FinanceSimilar educational background, often with more emphasis on research skills
Work EnvironmentFast-paced trading firms, focus on trading strategiesResearch labs, focus on developing models and algorithms
Employer & Industry UsageHedge funds, proprietary trading firmsQuantitative research teams within financial institutions
Comparison Search IntentUnderstanding trading-focused internship rolesUnderstanding research-focused internship roles

While both roles involve quantitative skills and similar educational backgrounds, a Quantitative Trading Summer Intern typically works on developing and implementing trading strategies in a fast-paced environment, whereas a Quantitative Research Summer Intern focuses on creating models and algorithms for investment analysis. The roles differ mainly in their focus—trading execution versus research and development.

More about Quantitative Trading Summer Intern jobs
What cities are hiring for Quantitative Trading Summer Intern jobs? Cities with the most Quantitative Trading Summer Intern job openings:
What states have the most Quantitative Trading Summer Intern jobs? States with the most job openings for Quantitative Trading Summer Intern jobs include:
Infographic showing various Quantitative Trading Summer Intern job openings in the United States as of June 2026, with employment types broken down into 12% Internship, 1% As Needed, 41% Full Time, 2% Part Time, and 44% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $40,304 per year, or $19.4 per hour.

Quantitative Trader Intern

WallStreetQuants

New York, NY • On-site

Full-time

Posted 5 days ago


Job description

An NYC based proprietary trading firm is seeking a motivated Quantitative Trader Intern to join our trading team. This internship is designed for students who are passionate about financial markets, data analysis, probability, and decision-making under uncertainty.

As a Quantitative Trader Intern, you will work alongside experienced traders, researchers, and engineers to analyze market behavior, develop trading insights, and support the execution and improvement of systematic trading strategies. This role offers hands-on exposure to real-time markets, quantitative research, and the trading decision process.

Requirements

Responsibilities
  • Analyze financial market data to identify patterns, inefficiencies, and trading opportunities.
  • Assist in the development, testing, and refinement of quantitative trading strategies.
  • Build tools and dashboards to monitor market activity, strategy performance, and trading signals.
  • Conduct statistical analysis and backtesting using historical data.
  • Collaborate with traders, researchers, and engineers to improve trading models and workflows.
  • Monitor live markets and help evaluate risk, execution quality, and strategy behavior.
  • Present research findings and trading insights to the broader team.
Qualifications
  • Currently pursuing a Bachelor's, Master's, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Strong analytical and problem-solving skills.
  • Solid understanding of probability, statistics, and mathematical modeling.
  • Programming experience in Python, R, or a similar language.
  • Interest in financial markets, trading, game theory, or competitive problem-solving.
  • Ability to work well in a fast-paced, collaborative environment.
  • Strong attention to detail and intellectual curiosity.
Preferred Qualifications
  • Experience with data analysis, machine learning, optimization, or time-series modeling.
  • Prior exposure to trading, investing, market microstructure, or financial derivatives.
  • Experience with pandas, NumPy, SQL, or other data analysis tools.
  • Participation in math competitions, programming contests, poker, chess, sports betting, or other strategy-based competitions.
  • Ability to communicate complex ideas clearly and concisely.

Benefits

What You'll Gain
  • Hands-on experience working with real-world financial market data.
  • Exposure to systematic trading, risk management, and strategy development.
  • Mentorship from experienced quantitative traders and researchers.
  • The opportunity to contribute to projects with direct trading impact.
  • A deeper understanding of how quantitative analysis is applied in live markets.