Undergraduate quant research intern to analyze financial datasets, clean and validate data, build simple models and backtests, write Python analysis and visualizations, and summarize results. Work collaboratively with researchers, traders, and engineers to develop and test systematic trading ideas.
About the Internship
RequirementsResponsibilities
BenefitsWhat You’ll Gain
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.
RequirementsResponsibilities
- 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.
- 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.
- 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.
BenefitsWhat 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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