Quantitative Researcher, Intern (Summer 2026)

As a Quantitative Research Intern, you will collaborate closely with a team to develop and implement quantitative trading signals, models, and strategies. Our role offers the opportunity to design, implement, and evaluate research systems components using rigorous statistical methodologies. As part of the team, you will gain exposure to diverse research areas, accelerating your expertise in quantitative finance.

Requirements:

• Active student pursuing a BS, MS, or PhD in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines with an expected graduation date between Fall 2026 and Spring 2027.
• Demonstrated proficiency in quantitative analysis and problem-solving
• Proficiency in Python programming
• Prior experience tackling data-intensive challenges, conducting and completing statistical or applied mathematical research
• Successful participation in mathematical competitions a plus e.g., IMO, Putnam
• Prior experience in a quantitative role within a trading environment a plus

Desired qualities:

• Intellectually curious, creative, and rigorous
• Willingness to challenge assumptions and revise opinions in the face of compelling evidence
• Self-motivated and highly productive, with a strong sense of urgency and accountability
• Willing to take ownership of one’s work, working both independently and within a small team
• Meticulous attention to detail
• Ability to manage and prioritize multiple threads of work
• Able to work across disciplines
• Excellent communication and collaboration skills
• Comfortable providing and receiving actionable feedback in a collaborative team setting