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Intern Quant Trading Jobs (NOW HIRING)

WallStreetQuants

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 ...

WallStreetQuants

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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$18K

$104.8K

$249K

How much do intern quant trading jobs pay per year?

As of Jul 3, 2026, the average yearly pay for intern quant trading in the United States is $104,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $153,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern Quant Trading, and why are they important?

To thrive as an Intern Quant Trading, you need strong analytical skills, proficiency in mathematics and statistics, and a background in fields like finance, computer science, or engineering. Familiarity with programming languages such as Python, C++, or R, and experience using data analysis tools or platforms like MATLAB are typically required. Attention to detail, problem-solving ability, and effective communication help interns stand out in collaborative, high-pressure environments. These skills and qualities are crucial for analyzing large data sets, developing trading algorithms, and contributing to fast-paced, data-driven decision-making.

What does an Intern Quant Trader do?

An Intern Quant Trader assists quantitative trading teams by analyzing financial data, developing trading algorithms, and backtesting strategies. They often use programming languages like Python or C++ to build models that identify trading opportunities. Interns also monitor market trends, help optimize existing strategies, and may participate in research projects. This role is a hands-on introduction to the fast-paced world of quantitative finance, allowing interns to apply their mathematical and technical skills to real-world trading challenges.

What is the difference between Intern Quant Trading vs Intern Quant Research?

AspectIntern Quant TradingIntern Quant Research
Primary FocusDeveloping trading strategies and executing tradesCreating models and algorithms for market analysis
Work EnvironmentFast-paced trading floors, collaboration with tradersResearch labs, data analysis, and model development
Required SkillsProgramming, market knowledge, risk managementMathematics, statistical modeling, programming
Common Employer UsageHedge funds, proprietary trading firmsQuantitative research teams in finance firms

Intern Quant Trading focuses on developing and executing trading strategies in real-time markets, often working closely with traders. Intern Quant Research emphasizes creating models and algorithms to analyze market data, supporting trading decisions. Both roles require programming and quantitative skills but differ in their immediate objectives and work environment.

What types of projects and responsibilities can an Intern Quant Trader expect during their internship?

As an Intern Quant Trader, you can expect to work on a variety of projects ranging from data analysis and model development to back-testing trading strategies. You'll often collaborate closely with experienced traders, quantitative analysts, and software engineers to understand market behaviors, optimize trading algorithms, and contribute to live trading operations. Interns are typically given real-world problems to solve, which may involve using programming languages like Python or C++, analyzing large datasets, and presenting findings to the team. This hands-on experience helps interns build both technical and soft skills, and high-performing interns are often considered for full-time roles post-internship.
More about Intern Quant Trading jobs
What cities are hiring for Intern Quant Trading jobs? Cities with the most Intern Quant Trading job openings:
What are the most commonly searched types of Quant Trading jobs? The most popular types of Quant Trading jobs are:
What states have the most Intern Quant Trading jobs? States with the most job openings for Intern Quant Trading jobs include:
What job categories do people searching Intern Quant Trading jobs look for? The top searched job categories for Intern Quant Trading jobs are:
Intern Quant Trading jobs near you
Infographic showing various Intern Quant Trading job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Temporary. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $104,824 per year, or $50.4 per hour.

Quantitative Trader Intern

WallStreetQuants

New York, NY

Full-time

Posted 6 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.

Apply