Quantitative Researcher - Internship

Wall Street Quants is a New York based Hedge Fund seeking an Undergraduate Quantitative Research Intern to join their quantitative research team. The internship offers hands-on experience in applying mathematics, statistics, programming, and data analysis to financial markets, while collaborating with experienced researchers and traders.

What you'll do:

• 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

What they're looking for:

• 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