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Internship Entry Level Quantitative Researcher Jobs

Point72

Cubist Quantitative Researcher

Chicago, IL · On-site

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading ...

Point72

Cubist Quantitative Researcher

Seattle, WA

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading ...

WallStreetQuants

Entry-Level Quantitative Developer

You will work closely with experienced traders, quantitative researchers, and engineers to learn ... internships, open-source work, or personal projects. - Interest in financial markets is useful, but ...

Jane Street

Quantitative Researcher

New York, NY · On-site

You'll work side by side with our experienced Quantitative Researchers to learn how we identify ... You'll spend the bulk of your internship working closely with full-time researchers on projects ...

Jane Street

Quantitative Researcher

New York, NY · On-site

You'll work side by side with our experienced Quantitative Researchers to learn how we identify ... You'll spend the bulk of your internship working closely with full-time researchers on projects ...

PDT Partners

Quantitative Researcher

New York, NY · On-site

$190K - $250K/yr

Experience Required: Entry-level (PhD Program) or Experienced (Postdoc, Faculty, Scientific Lab ... quantitative investment manager - is hiring new or recent PhD graduates and experienced researchers ...

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How much do internship entry level quantitative researcher jobs pay per month?

As of Aug 16, 2026, the average monthly pay for internship entry level quantitative researcher in the United States is $5,290.17, according to ZipRecruiter salary data. Most workers in this role earn between $3,000.00 and $7,500.00 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship entry level quantitative researcher, and why are they important?

To thrive as an Internship Entry Level Quantitative Researcher, you typically need strong analytical skills, proficiency in mathematics or statistics, and enrollment in or completion of a relevant degree such as mathematics, physics, or computer science. Familiarity with programming languages like Python, R, or MATLAB and experience with data analysis tools are commonly expected. Attention to detail, problem-solving ability, and effective communication help set candidates apart in collaborative research environments. These skills are crucial to accurately analyze data, develop models, and contribute valuable insights for decision-making in research teams.

What is an internship entry level quantitative researcher?

An Internship Entry Level Quantitative Researcher is a student or recent graduate who assists in analyzing data and developing mathematical models to solve problems, often in finance, technology, or scientific research. They typically work under the supervision of experienced researchers, learning how to use statistical tools, programming languages, and data analysis techniques. The role is designed to give interns hands-on experience in quantitative research, helping them build skills and prepare for full-time analyst or research positions in the future.

What types of projects or tasks are typically assigned to an internship entry level quantitative researcher, and how do these contribute to larger team goals?

Internship Entry Level Quantitative Researchers are often tasked with data collection, cleaning, and analysis, as well as assisting in the development and backtesting of quantitative models. These assignments provide hands-on experience with financial datasets and programming tools such as Python or R. Interns typically work closely with senior researchers, contributing to ongoing research projects or supporting the team in identifying trading strategies. The work done by interns is vital in streamlining processes, validating hypotheses, and supporting the team's overall research objectives, offering valuable exposure to real-world problem-solving in a collaborative environment.
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Internship Entry Level Quantitative Researcher jobs near you
Infographic showing various Internship Entry Level Quantitative Researcher job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 63% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $63,482 per year, or $30.5 per hour.

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Full-time

Re-posted 2 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.

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