Quantitative Trader Intern

About the role

We are a New York‑based proprietary trading firm looking for a motivated Quantitative Trader Intern. You will work side‑by‑side with experienced traders, researchers, and engineers to explore market data, develop trading insights, and support systematic strategy execution.

Key responsibilities

• Analyze financial market data to uncover patterns, inefficiencies, and trading opportunities.
• Assist in the development, testing, and refinement of quantitative trading strategies.
• Build tools and dashboards to monitor market activity, strategy performance, and trading signals.
• Conduct statistical analysis and back‑testing using historical data.
• Collaborate with traders, researchers, and engineers to improve models and workflows.
• Monitor live markets and help evaluate risk, execution quality, and strategy behavior.
• Present research findings and trading insights to the broader team.

Required profile

• Currently pursuing a Bachelor’s, Master’s, or PhD in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
• Strong analytical and problem‑solving abilities with a solid grasp of probability, statistics, and mathematical modeling.
• Interest in financial markets, trading, game theory, or competitive problem‑solving.
• Ability to thrive in a fast‑paced, collaborative environment and pay close attention to detail.

Required skills

• Programming experience in Python or R.
• Familiarity with data‑analysis libraries such as pandas, NumPy.
• Experience with SQL or similar data‑query tools.

What we offer

• Hands‑on experience with real‑world financial market data.
• Exposure to systematic trading, risk management, and strategy development.
• Mentorship from experienced quantitative traders and researchers.
• Opportunity to contribute to projects that have direct trading impact.