Quantitative Trader Intern, PhD (Quantitative Trading)

Location: New York, United States

Salary: $3,500–$5,700 weekly base salary

Company

Quantitative trading firm founded in 1998 that develops electronic trading infrastructure and systematic trading strategies.

What you will do

• Design, implement, and deploy high-frequency trading algorithms.
• Research and improve trading strategies with support from a dedicated mentor.
• Analyze market data and market microstructure to identify trading patterns.
• Build tools and analytical computation libraries for market data analysis and trading.
• Develop, enhance, and calibrate exchange simulators.

Requirements

• Availability for a 4–6 month internship or a 10-week summer term.
• Current PhD studies in mathematics, statistics, physics, electrical engineering, computer science, economics, or a related field.
• Strong background in C++, R, Python, or another object-oriented programming language.
• Strong problem-solving and communication skills.
• Ability to manage multiple tasks in a fast-paced environment.
• Interest in financial markets and new technologies.

Nice to have

• Previous industry experience.
• Experience with machine learning.

Culture & Benefits

• Competitive compensation package.
• Free breakfast, lunch, and snacks each day.
• Networking and social events, including Broadway shows, escape rooms, and cooking classes.
• Opportunities to learn from senior management across the firm.
• Mentorship from alumni and professionals at leading institutions.
• Collaborative, welcoming workplace with minimal hierarchy and no unnecessary ego.