Quantitative Researcher - Summer Internship

About the Internship

This New York-based hedge fund is looking for an undergraduate quantitative research intern to support its research team. The role is intended for students who want to apply mathematics, statistics, coding, and data analysis to real financial markets.

In this position, you will partner with experienced researchers and traders to examine market data, validate research concepts, and assess systematic trading approaches. It is a practical learning opportunity in quantitative finance within a team-oriented and intellectually demanding setting.

Responsibilities

• Study financial and market datasets using statistical techniques.
• Support research efforts focused on systematic trading methods.
• Prepare datasets by cleaning, structuring, and checking them for accuracy.
• Develop basic models and backtests with guidance from researchers.
• Use Python to support data analysis, visualization, and research tasks.
• Present insights through charts, written summaries, or presentations.
• Work with researchers, traders, and engineers on ongoing projects.
• Build understanding of how quantitative ideas are created, tested, and measured.

Qualifications

• Currently enrolled in a bachelor's program in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or another quantitative discipline.
• Expected to graduate in 2028 or 2029.
• Consistent strong performance in quantitative subjects.
• Working knowledge of Python programming.
• Basic familiarity with probability, statistics, linear algebra, or optimization.
• Genuine interest in financial markets, trading, investing, or data-led decisions.
• Good analytical thinking and close attention to detail.
• Ability to explain technical ideas clearly.
• Experience with pandas, NumPy, matplotlib, scikit-learn, or similar libraries is preferred.
• Coursework or projects in data analysis, machine learning, econometrics, or time series analysis will be an advantage.
• Knowledge of SQL or database systems is useful.
• Participation in mathematics, programming, trading, data science, or research competitions is a plus.
• Previous internship experience, academic research, or independent quantitative projects are also valued.

Benefits

• Hands-on exposure to real-world quantitative research and systematic trading.
• Guidance and mentorship from experienced researchers and traders.
• Practical experience working with financial datasets.
• Chance to contribute to meaningful research work.
• Better insight into career paths in quantitative finance.

Additional Information

This opportunity is designed for undergraduate students with an expected graduation year of 2028 or 2029. The internship is based in New York, NY and is listed as onsite. No salary, stipend, duration, start date, or application deadline was provided in the source material.