Quantitative Researcher: Early Career
Posted on 8/3/2022
Aquatic Capital Management

1,001-5,000 employees

R&D platform
Company Overview
Aquatic Capital Management manages systematic investment strategies, combining a high-performance research and development platform with disciplined risk management. Aquatic aims to deliver industry leading returns.
Chicago, IL, USA
Experience Level
Desired Skills
Quantitative Finance
  • Undergrad in mathematics, statistics, machine learning, physics, computer science, or other scientific discipline
  • Exceptional mathematical, analytical, and problem-solving ability
  • Programming proficiency in python or C++
  • Experience in solving data-intensive problems a plus
  • Demonstrated ability to complete statistical or applied mathematical research a plus
  • Prior experience in a quantitative role within a trading environment a plus
  • At Aquatic, we are actively recruiting for a Quant Researcher in our Chicago office
  • In this role, you will work with a team to develop a variety of signals, models, and strategies for trading financial markets
  • As part of the role, you will be responsible for the design and implementation of various components of our research system, and you will evaluate their effectiveness by using rigorous statistical methods
  • As part of a small team with exposure to multiple areas of research, you will have the opportunity to rapidly grow your knowledge of quantitative finance
Desired Qualifications
  • 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