Undergraduate Quantitative Research Intern

Location: New York, New York, United States; on-site

Company

hirify.global is a New York-based hedge fund with a quantitative research team focused on systematic trading and financial markets.

What you will do

• Analyze financial and market datasets using statistical methods.
• Assist with research on systematic trading strategies and evaluate research ideas.
• Clean, organize, and validate large datasets.
• Build simple models and backtests under researcher supervision.
• Write Python code for data analysis, visualization, and research workflows.
• Present findings through charts, reports, or presentations while collaborating with researchers, traders, and engineers.

Requirements

• Currently pursuing a bachelor's degree in mathematics, statistics, computer science, engineering, physics, economics, finance, or a related quantitative field.
• Expected graduation in 2028 or 2029 with 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, attention to detail, and technical communication skills.

Nice to have

• 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 quantitative competitions or prior internship, academic research, or independent quantitative analysis projects.

Culture & Benefits

• Hands-on 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.
• Collaborative and intellectually challenging research environment.