Quantitative Trader Intern

About the Role

A proprietary trading firm based in New York City is looking for a driven Quantitative Trader Intern to support its trading desk. The opportunity is aimed at students who are enthusiastic about markets, data-driven decision-making, probability, and working through uncertain outcomes.

In this role, you will partner with traders, researchers, and engineers to study market activity, generate trading ideas, and contribute to the development and improvement of systematic trading approaches. The position provides practical exposure to live market environments, quantitative research, and how trading decisions are made.

Responsibilities

• Study market data to uncover patterns, inefficiencies, and possible trading opportunities
• Support the creation, testing, and fine-tuning of quantitative trading strategies
• Develop internal tools and dashboards to track market movement, strategy results, and trading signals
• Perform statistical analysis and run backtests on historical datasets
• Work closely with traders, researchers, and engineers to strengthen trading models and operating processes
• Track live markets and assist in assessing risk, execution quality, and strategy performance
• Share research outcomes and trading observations with the wider team

Requirements

• Currently enrolled in a Bachelor's, Master's, or PhD program in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or another quantitative discipline
• Strong capability in analytical thinking and structured problem-solving
• Good grasp of probability, statistics, and mathematical modeling concepts
• Programming background in Python, R, or a comparable language
• Genuine interest in financial markets, trading, game theory, or competitive problem-solving
• Comfortable working in a fast-moving, collaborative setting
• High attention to detail and a naturally curious mindset
• Preferred experience in data analysis, machine learning, optimization, or time-series modeling
• Exposure to trading, investing, market microstructure, or financial derivatives is a plus
• Familiarity with pandas, NumPy, SQL, or similar analytics tools is preferred
• Experience in math contests, coding competitions, poker, chess, sports betting, or other strategy-driven activities is a plus
• Ability to explain complex ideas clearly and briefly

What You'll Gain

• Practical experience working with real financial market data
• Exposure to systematic trading, risk management, and strategy development
• Mentorship from experienced quantitative traders and researchers
• Opportunity to contribute to work that can directly influence trading outcomes
• A stronger understanding of how quantitative methods are used in live markets