Quantitative Trader Intern (PhD 2026) at Tower… · New York

Summary: Tower Research Capital is a leading quantitative trading firm founded in 1998, known for its high-performance platform and independent trading teams. The Quantitative Trader Intern will design and implement high-frequency trading algorithms, analyze market data, and contribute to the development of trading strategies under the guidance of a mentor. Responsibilities: - Designing, implementing, and deploying high-frequency trading algorithms - Working with a dedicated mentor to research and enhance existing trading strategies - Exploring trading ideas by analyzing market data and market microstructure for patterns - Creating tools to analyze data for patterns - Contributing to libraries of analytical computations to support market data analysis and trading - Developing, augmenting, and calibrating exchange simulators Required Qualifications: - Availability for 4-6 months or 10-week summer term - PhD student focusing on mathematics, statistics, physics, electrical engineering, computer science, economics, or related fields - A strong background in C++, R, Python, or an object-oriented programming language - Strong problem-solving abilities - A passion for new technologies and ideas - The ability to manage multiple tasks in a fast-paced environment - Strong communication skills - Interest in financial markets Preferred Qualifications: - Past industry experience - Experience with machine learning Required Skills: C++, Python, R Important Skills: Machine Learning, Object-Oriented Programming Nice-to-Have Skills: Interest in Financial Markets, Problem-Solving, Communication Skills Graduation Date Requirement: Graduate in 2026 Benefits: Competitive compensation package, Free breakfast, lunch, and snacks daily, Exciting networking and social events (e.g. Broadway shows, escape rooms, cooking classes), Opportunities to learn from senior management across the firm, Mentors from your alma mater and other top institutions