Quantitative Researcher - Internship

Wall Street Quants; New York (NY); On-site; USD 27,552 - 41,328; Part time

Job summary

Wall Street Quants in New York offers an Undergraduate Quantitative Research Intern position to join the quantitative research team. You will work with researchers and traders on market data, test ideas, and evaluate systematic trading strategies.

This hands-on internship focuses on applying mathematics, statistics, and Python to financial markets, with mentoring and exposure to real-world research projects.

Qualifications

• 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.

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.

Skills

Python programming

Mathematics

Statistics

Data analysis

Problem solving

Communication

Education

Bachelor's degree in a quantitative field

Tools

Pandas

NumPy

Matplotlib

scikit-learn

SQL

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.

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.