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Internship Quantitative Trader Jobs (NOW HIRING)

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Quantitative Analyst * Risk Quant * Systematic Trading * Algorithmic Trading * Portfolio Analytics ... Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ...

Be Seen First

Quantitative Analyst * Risk Quant * Systematic Trading * Algorithmic Trading * Portfolio Analytics ... Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ...

As part of the interview process, we'll assess your strengths, interests, and skills to determine the best fit, and you may be considered for either a Quant Trading or Quant Research internship offer.

As part of the interview process, we'll assess your strengths, interests, and skills to determine the best fit, and you may be considered for either a Quant Trading or Quant Research internship offer.

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Internship Quantitative Trader information

What is the difference between Internship Quantitative Trader vs Quantitative Analyst?

AspectInternship Quantitative TraderQuantitative Analyst
CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsOften holds or pursuing advanced degrees (Master's or PhD) in finance, mathematics, or statistics
Work EnvironmentInternship setting within trading firms or hedge funds, focused on supporting trading strategiesOffice-based, analyzing data, developing models, and providing insights for trading decisions
Employer & Industry UsageUsed in trading firms, hedge funds, and financial institutions involved in quantitative tradingCommon in investment banks, asset management firms, and financial institutions

While both roles involve quantitative skills and data analysis, an Internship Quantitative Trader focuses on supporting trading activities during an internship, often with less experience required. A Quantitative Analyst typically has more experience or advanced education, developing models and strategies to inform trading decisions.

Does JP Morgan hire quants?

JP Morgan hires quantitative traders and quants for roles in its trading and risk management divisions. These positions typically require strong skills in mathematics, programming, and financial modeling, often using tools like Python, C++, and statistical analysis. Candidates usually need a relevant degree and experience in quantitative analysis or trading environments.

What does a quantitative trading intern do?

A quantitative trading intern assists in developing and testing trading algorithms, analyzing financial data, and supporting trading strategies. They often use programming languages like Python or C++ and work closely with traders and data scientists to optimize trading models and improve decision-making processes.

How to get a quant trader internship?

To secure a quantitative trader internship, candidates typically need strong skills in mathematics, programming (such as Python or C++), and data analysis. Relevant experience through coursework, personal projects, or competitions, along with a solid understanding of financial markets, can improve chances. Applying to firms that offer structured internship programs and preparing for technical interviews are also important steps.
What cities are hiring for Internship Quantitative Trader jobs? Cities with the most Internship Quantitative Trader job openings:
What are the most commonly searched types of Quantitative Trader jobs? The most popular types of Quantitative Trader jobs are:
What states have the most Internship Quantitative Trader jobs? States with the most job openings for Internship Quantitative Trader jobs include:

Quantitative Researcher - Summer Internship

WallStreetQuants

New York, NY • On-site

Temporary, Internship

Posted 16 days ago


Job description

About the Internship

A New York based Hedge Fund is seeking an Undergraduate Quantitative Research Intern to join their quantitative research team. This internship is designed for undergraduate students interested in applying mathematics, statistics, programming, and data analysis to financial markets.

You will work alongside experienced researchers and traders to explore market data, test research ideas, and help evaluate systematic trading strategies. This is a hands-on opportunity to gain exposure to quantitative finance in a collaborative and intellectually challenging environment.

Requirements

Responsibilities
  • Analyze financial and market datasets using statistical methods.
  • Assist with research on systematic trading strategies.
  • Clean, organize, and validate large datasets.
  • Build simple models and backtests under researcher supervision.
  • Write Python code for data analysis, visualization, and research workflows.
  • Summarize findings clearly through charts, reports, or presentations.
  • Collaborate with researchers, traders, and engineers on research projects.
  • Learn how quantitative research ideas are developed, tested, and evaluated.
Qualifications
  • Currently pursuing a bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Expected graduation date of 2028 or 2029.
  • Strong academic performance in quantitative coursework.
  • Programming experience in Python.
  • Familiarity with probability, statistics, linear algebra, or optimization.
  • Interest in financial markets, trading, investing, or data-driven decision-making.
  • Strong problem-solving skills and attention to detail.
  • Ability to communicate technical ideas clearly.
Preferred Qualifications
  • Experience with pandas, NumPy, matplotlib, scikit-learn, or similar tools.
  • Coursework or projects involving data analysis, machine learning, econometrics, or time series.
  • Familiarity with SQL or databases.
  • Participation in math, programming, trading, data science, or research competitions.
  • Prior internship, academic research, or independent project involving quantitative analysis.

Benefits

What You’ll Gain
  • Exposure to real-world quantitative research and systematic trading.
  • Mentorship from experienced researchers and traders.
  • Practical experience working with financial data.
  • Opportunity to contribute to meaningful research projects.
  • A deeper understanding of careers in quantitative finance.