Chicago, Illinois, United States
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Required skills include being an active student in mathematics, statistics, machine learning, physics, computer science or similar with graduation between Fall 2026 and Spring 2027, demonstrated proficiency in quantitative analysis and problem-solving, proficiency in Python programming, and prior experience with data-intensive challenges and statistical or applied mathematical research.
Aquatic fosters a culture of curiosity, relentless innovation, lifelong learning, and collaboration, where challenges are opportunities for growth, driven by a commitment to applied science and excellence in quantitative trading.
Strong candidates are intellectually curious, creative, and rigorous, with self-motivation, ownership of work in teams or independently, attention to detail, and the ability to manage multiple tasks across disciplines; pluses include mathematical competition experience or prior quantitative trading roles.
Quantitative investment management for institutional clients
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 generate insights that help clients maximize their returns. Unlike many competitors, Aquatic operates without the limitations of outdated systems, allowing for greater agility and responsiveness to market changes.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 while fostering a collaborative and innovative workplace culture that attracts top talent.