The company is looking to solve complex challenges in the financial industry through cutting-edge scientific research and technological innovation.
Requirements
- 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
- Proficiency in Python programming
- Prior experience tackling data-intensive challenges, conducting and completing statistical or applied mathematical research
Responsibilities
- 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
Other
- Expected graduation date between Fall 2026 and Spring 2027
- Intellectually curious, creative, and rigorous
- Self-motivated and highly productive, with a strong sense of urgency and accountability
- Excellent communication and collaboration skills
