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Intern Quantitative Modeling Jobs (NOW HIRING)

As a Quantitative Research Intern, you will work side-by-side with our Research Team of ... Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ...

Quantitative Research Intern

Chicago, IL ยท On-site

$250K - $300K/yr

As a Quantitative Research Intern you will have an opportunity to solve challenging problems ... Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to ...

Quantitative Researcher

Chicago, IL ยท On-site

$145K/yr

These teams drive the development of trading strategies and predictive models by combining ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

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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:

Quantitative Researcher - Internship

WallStreetQuants

New York, NY โ€ข On-site

Internship

Posted 6 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 bachelorโ€™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 Youโ€™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.