Quantitative Researcher, Early Career

Aquatic Capital Management • Chicago, NY

265d • $150,000 - $200,000

About The Position

Aquatic was founded with a shared passion for tackling some of the most complex challenges in one of the world's most competitive arenas-global financial markets. From the very beginning, we have been driven by a deep commitment to applying cutting-edge scientific research and technological innovation to deliver unparalleled performance. Our journey is one of continuous growth and exploration, marked by a spirit of curiosity and relentless drive for excellence. At Aquatic, we believe in pushing the boundaries of possibility. Our vision is to create the world's leading quantitative trading firm, built on a foundation of applied science and a culture of relentless innovation. By harnessing the power of data, we aim to unlock insights and transform them into strategies that succeed in even the most competitive global markets. Our goal is simple: to build the world's best prediction machine. To achieve this, we are constantly exploring new opportunities and expanding our reach across global markets. We are committed to attracting and nurturing top-tier talent-researchers and engineers who share our curiosity and drive. Together, we aim to foster a culture of lifelong learning and collaboration, where every challenge is seen as an opportunity for growth and innovation. As a Quantitative Researcher, 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

• A Bachelor's degree (BS) in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines is required.
• Candidates may have up to 3 years of professional experience or be actively pursuing a BS or MS in these fields, with an expected graduation date in 2025.
• 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

Nice To Haves

• 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

• Fully paid medical, dental, and vision for employees and dependents
• Competitive 401k plan
• Employer-paid life & disability insurance
• Wellness programs
• Casual dress
• Snacks, lunch, game room, team and company events
• Open environment to maximize learning and knowledge sharing
• Generous PTO, paid holidays, competitive paid caregiver leaves

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 101-250 employees