Quantitative Trader Intern (PhD 2026)

Tower Research Capital is seeking a Quantitative Trader Intern (PhD 2026) to contribute to their top-performing trading firm. The role involves designing, implementing, and deploying high-frequency trading algorithms, researching market ideas, and analyzing data for patterns. The firm emphasizes a stimulating, results-oriented environment with a collaborative culture and strong focus on growth and opportunity.

Requirements

• Availability for 4-6 months
• PhD student in a related field (Mathematics, Statistics, Physics, Engineering, Economics, etc.)
• Strong background in C++, R, Python, or an object-oriented programming language
• Strong problem-solving abilities
• Passion for new technologies
• Ability to manage multiple tasks
• Strong communication skills

Benefits

• Competitive compensation package
• Free breakfast, lunch, and snacks
• Networking and social events
• Learning opportunities
• Mentorship
• Opportunity to work with a diverse team