Quantitative Researcher, Intern (Summer 2027)

• 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 2027 and Summer 2028.
• 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 is a plus e.g., IMO, Putnam
• Prior experience in a quantitative role within a trading environment a plus

• 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

• Benefits: For full-time employees, fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance
• Perks: Wellness programs, casual dress, snacks, lunch, game room, team and company events
• Development: Open environment to maximize learning and knowledge sharing
• Time: Generous PTO, paid holidays, competitive paid caregiver leaves

Aquatic Capital

This role represents a unique opportunity to join a quantitative investment manager in its early stage of growth. The firm’s culture will be shaped by collaboration, meritocracy, ambition, and calm determination.

Artificial Intelligence in Recruitment Aquatic may use artificial intelligence and other automated tools to support certain aspects of our recruitment process. These tools may assist in reviewing application materials, analyzing candidate-provided information, and evaluating qualifications relevant to open positions. Information you submit during the application and interview process may be processed using these technologies.