Quantitative Trader Intern, PhD

About the role

Join Tower Research Capital as a Quantitative Trader Intern in New York, designing and deploying high-frequency trading algorithms while analyzing market data and enhancing trading strategies.

Responsibilities

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

Qualifications

• Available for 4-6 months or a 10-week summer term.
• PhD student in math, statistics, physics, EE, CS, economics, or related fields.
• Strong background in C++, R, Python, or object-oriented programming.
• Strong problem-solving and communication skills.
• Passion for new technologies and ideas.
• Ability to manage multiple tasks in a fast-paced environment.

Preferred Qualifications

• Past industry experience.
• Experience with machine learning.

Salary and Benefits

• Weekly base salary range $3,500-$5,700 in New York.
• Competitive compensation package.
• Free breakfast, lunch, and snacks daily.
• Networking and social events like Broadway shows and cooking classes.
• Mentorship from senior management and alumni.
• Collaborative, casual, and ego-free work environment.