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.
Quantitative Researcher - Chicago
Responsibilities:
Create and improve proprietary trading models and strategies; utilize financial and other data to create or improve predictive models; develop and/or leverage leading-edge statistical and machine-learning models to enhance the research and development system; create algorithms to monetize predictive signals.
Requirements:
- PhD degree in Operations Research or related field
- Any amount of experience building predictive models with machine learning methods including regression, decision trees and deep neural networks
- Any amount of experience performing statistical analysis of large data sets and machine learning models
- Any amount of experience designing and implementing algorithms to solve optimization problems
- Any amount of experience solving for optimal policies in Markov decision processes using reinforcement learning techniques
Must live within normal commuting distance of worksite. Remote work allowed 10 days per year.Salary range: $195,000 to $205,000Benefits:
- Benefits: Fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance
- Perks: Wellness programs, casual dress, snacks, lunch, game room, team and company events
- Development: Open environment to maximize learning and knowledge sharing
- Time: Generous PTO, paid holidays, competitive paid caregiver leaves
Aquatic Capital This role represents a unique opportunity to join a quantitative investment manager in its early stage of growth. The firm’s culture will be shaped by collaboration, meritocracy, ambition, and calm determination.Aquatic is a proud equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
