New Grad Full-Time Quantitative Trader

About the role

A proprietary trading company in New York City is hiring a full-time New Grad Quantitative Trader. The position centers on using analytical reasoning, market judgment, and quantitative methods to spot trading opportunities, control risk, and help build data-led strategies in global markets.

This opportunity is aimed at recent graduates who are interested in financial markets, probability, game theory, technology, and rapid decision-making. You will partner with seasoned traders, quantitative researchers, and engineers to understand how modern trading systems are created, evaluated, and deployed.

Responsibilities

• Track live market information and assess it to uncover potential trading setups.
• Contribute to building, testing, and improving quantitative trading approaches.
• Act quickly on data-based trading decisions while staying mindful of risk exposure.
• Work alongside traders, researchers, and engineers to strengthen models, tools, and execution workflows.
• Perform statistical studies using both historical and current market datasets.
• Review market microstructure, liquidity, volatility, and other factors that influence price changes.
• Take part in trading drills, training sessions, and strategy review meetings.
• Explain trade ideas, risks, and performance observations clearly to teammates.
• Use feedback, research, and post-trade analysis to sharpen decision-making over time.

Qualifications

• A bachelor’s, master’s, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or another quantitative discipline.
• Strong ability in quantitative thinking, analysis, and problem solving.
• Genuine interest in financial markets, trading, probability, strategy games, or competitive problem solving.
• Comfort with making quick decisions and staying composed in high-pressure situations.
• Careful attention to detail and a naturally curious mindset.
• Strong verbal communication and collaboration skills.
• Programming knowledge in Python or a similar language is preferred.
• Prior exposure through internships, research, trading competitions, or personal projects involving data analysis, markets, or quantitative modeling is helpful but not mandatory.

Ideal candidate

The strongest fit is someone who is highly curious, competitive, strong with numbers, and comfortable deciding with limited information. You should enjoy solving complex problems, thinking strategically, learning from feedback, and thriving in an environment where speed and precision are important.

Benefits

• Structured training in trading, market structure, risk management, and quantitative strategy design.
• Guidance from experienced traders, researchers, and technologists.
• Direct exposure to live markets and real-time trading decisions.
• A collaborative, high-performance workplace that rewards curiosity, discipline, and ongoing learning.
• Fast growth opportunities tied to performance, ownership, and impact.
• A competitive compensation and benefits package.