Quantitative Researcher – Intern

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 is a plus e.g., IMO, Putnam Prior experience in a quantitative role within a trading environment a plus Collaborate closely with a team to develop and implement quantitative trading signals, models, and strategies Design, implement, and evaluate research systems components using rigorous statistical methodologies Gain exposure to diverse research areas, accelerating expertise in quantitative finance 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

Aquatic Capital Management specializes in quantitative investment management, focusing on creating financial models that predict market movements. The company uses advanced research and development techniques, employing a team of skilled researchers and engineers to develop data-driven investment strategies for institutional clients like hedge funds and pension funds. Aquatic's products work by leveraging mathematical models and algorithms to analyze market data and make informed investment decisions. Unlike many competitors, Aquatic operates without the limitations of outdated systems, allowing for greater agility and responsiveness to market changes. The company's goal is to build the best prediction machine in the industry, providing superior financial insights and performance to its clients.