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Intern Quantitative Modeling Jobs (NOW HIRING)

Jane Street

Quantitative Trader

New York, NY · On-site

We don't believe in "one-size-fits-all" modeling solutions; we are open to and excited about ... As a quantitative trading intern, you'll also have the opportunity to participate in one "elective ...

Jane Street

Quantitative Trader

New York, NY

We don't believe in "one-size-fits-all" modeling solutions; we are open to and excited about ... As a quantitative trading intern, you'll also have the opportunity to participate in one "elective ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

A proprietary trading firm based in Miami is seeking a highly motivated Quantitative Trading Intern ... models, and trading systems are designed, tested, and implemented. The team is small, technical ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

A proprietary trading firm based in Miami is seeking a highly motivated Quantitative Trading Intern ... models, and trading systems are designed, tested, and implemented. The team is small, technical ...

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Intern Quantitative Modeling information

What are the key skills and qualifications needed to thrive as an Intern in Quantitative Modeling, and why are they important?

To thrive as an Intern in Quantitative Modeling, you need a solid foundation in mathematics, statistics, and programming, often supported by coursework in quantitative fields like finance, engineering, or computer science. Familiarity with tools such as Python, R, MATLAB, and experience with statistical modeling libraries or financial data systems is highly valuable. Strong analytical thinking, attention to detail, and effective communication skills distinguish top candidates in this role. These skills and qualities are crucial for accurately analyzing complex data, building reliable models, and clearly presenting findings to support business or research decisions.

What are Intern Quantitative Modeling positions?

Intern Quantitative Modeling positions are internship roles where students or recent graduates work with experienced quantitative analysts to develop and implement mathematical models that assist in financial decision-making, risk management, or trading strategies. Interns typically use statistical, programming, and analytical skills to analyze large data sets and help solve real-world financial problems. These internships offer hands-on experience with quantitative tools, exposure to industry practices, and opportunities to learn from professionals in fields such as finance, insurance, or technology.

What is the difference between Intern Quantitative Modeling vs Intern Data Analysis?

AspectIntern Quantitative ModelingIntern Data Analysis
Required SkillsMathematics, programming, financial modelingData manipulation, statistical analysis, visualization
Work EnvironmentFinance, investment banks, hedge fundsTech companies, consulting firms, research institutions
Typical TasksBuilding models, forecasting, risk assessmentData cleaning, reporting, trend analysis

Intern Quantitative Modeling and Intern Data Analysis roles often overlap in skills like programming and data handling. However, quantitative modeling focuses more on creating financial or mathematical models used for decision-making, while data analysis emphasizes interpreting data to uncover insights. Both roles are common in finance and tech industries, but they serve different strategic purposes.

What types of projects or tasks can an Intern in Quantitative Modeling expect to work on during their internship?

As an Intern in Quantitative Modeling, you can expect to assist with developing, testing, and validating mathematical models used for financial analysis, risk assessment, or trading strategies. Typical tasks include working with large datasets, coding in programming languages such as Python or R, and collaborating with senior analysts or data scientists to solve real-world business problems. You'll often participate in team meetings, present your findings, and receive feedback to refine your models. This hands-on experience will help you build strong technical and analytical skills, while giving you exposure to the collaborative nature of quantitative teams in finance or technology firms.
What cities are hiring for Intern Quantitative Modeling jobs? Cities with the most Intern Quantitative Modeling job openings:
What are the most commonly searched types of Quantitative Modeling jobs? The most popular types of Quantitative Modeling jobs are:
What states have the most Intern Quantitative Modeling jobs? States with the most job openings for Intern Quantitative Modeling jobs include:
Intern Quantitative Modeling jobs near you

Quantitative Trader Intern

WallStreetQuants

New York, NY • On-site

Full-time

Posted 25 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