Quantitative Research Intern — Finance Data & Backtesting

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

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.