Quantitative Trader Intern, PhD

About the role#

Tower Research Capital is seeking a PhD student for a Quantitative Trader Internship. This role involves working alongside a dedicated mentor to research, develop, and enhance high-frequency trading strategies. You will contribute to the firm's analytical infrastructure and explore market patterns through data analysis.

What you'll do#

• Design, implement, and deploy high-frequency trading algorithms.
• Research and enhance existing trading strategies in collaboration with a mentor.
• Analyze market data and microstructure to identify and explore new trading ideas.
• Develop tools to analyze data patterns.
• Contribute to libraries of analytical computations supporting market data analysis and trading.
• Develop, augment, and calibrate exchange simulators.

What you'll need#

• Currently pursuing a PhD in Mathematics, Statistics, Physics, Computer Science, Electrical Engineering, Economics, or a related field.
• Strong programming skills in C++, R, Python, or another object-oriented language.
• Strong problem-solving abilities and a passion for new technologies.
• Ability to manage multiple tasks effectively.
• Strong communication skills.
• Interest in financial markets.
• Past industry experience or machine learning experience is preferred but not required.

Location & details#

• Location: New York, New York
• Term: Rolling (4-6 months or 10-week summer term)
• Modality: On-site
• Employment type: Full-time, paid internship