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.
Software Engineer
New York
Responsibilities: Build production trading systems and create automated infrastructure to accelerate delivery of new models to live trading; develop and manage high quality, robust and efficient data and model pipelines; build tools to bring models to live trading efficiently and in an automated, reproducible fashion; improve capabilities, performance, reliability, scalability and throughput of trading systems.
Requirements:
- Bachelor’s degree in Computer Science, Computer Engineering or related field
- 3 years of related experience
- Any amount of experience building and maintaining low-latency, high-performance infrastructure and systems responsible for executing trades and ingesting data from 10,000+ sources daily
- Any amount of experience building framework that runs, tests and deploys quantitative strategies
- Any amount of experience utilizing graph theory to create interactive data visualization user interfaces for analyzing computational task graphs as directed acyclic graphs
- Any amount of experience developing time series data classification systems including feature engineering techniques and machine learning algorithms
Must live within normal commuting distance of worksite. Remote working is permitted on occasion but office attendance is expected.
Salary range: $220,000 to $230,000
Benefits:
- Benefits: For full-time employees, 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.
Skills Required
- Bachelor's degree in Computer Science, Computer Engineering or related field
- 3 years of related experience
- Experience building and maintaining low-latency, high-performance infrastructure and systems responsible for executing trades and ingesting data from 10,000+ sources daily
- Experience building framework that runs, tests and deploys quantitative strategies
- Experience utilizing graph theory to create interactive data visualization user interfaces for analyzing computational task graphs as directed acyclic graphs
- Experience developing time series data classification systems including feature engineering techniques and machine learning algorithms
- Must live within normal commuting distance of worksite (office attendance expected; occasional remote permitted)
What We Do
Aquatic manages systematic investment strategies, combining a high-performance research and development platform with disciplined risk management. Our team of best-in-class researchers and engineers are working together in a relaxed environment optimized for collaboration, creativity, and performance. Because we are small and nimble, every voice counts. We value diverse backgrounds and are rooted in collaboration, meritocracy, ambition, and steady determination.
