Aquatic is looking to build the world’s best prediction machine by developing and implementing quantitative trading signals, models, and strategies.
Requirements
Proficiency in Python programming
Prior experience tackling data-intensive challenges, conducting and completing statistical or applied mathematical research
Prior experience in a quantitative role within a trading environment a plus
Demonstrated proficiency in quantitative analysis and problem-solving
Successful participation in mathematical competitions a plus e.g., IMO, Putnam
Proficiency in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines
Responsibilities
Develop and implement quantitative trading signals, models, and strategies
Design, implement, and evaluate research systems components using rigorous statistical methodologies
Collaborate closely with a team to develop and implement quantitative trading signals, models, and strategies
Gain exposure to diverse research areas, accelerating expertise in quantitative finance
Tackle data-intensive challenges, conducting and completing statistical or applied mathematical research
Other
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 or 2026
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
Excellent communication and collaboration skills
Comfortable providing and receiving actionable feedback in a collaborative team setting
