Aquatic Capital Management
Financial Services
SoftwareEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer at Aquatic Capital Management. Skills: Trading systems, Automated infrastructure, Data classification. Build production trading systems. Create automated infrastructure”
Industry & Context.
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 3 years of related experience, Experience building low-latency infrastructure, Experience building trade execution systems, Experience ingesting data from 10,000+ sources, Experience building quantitative strategy frameworks, Experience developing time series data classification systems, Experience with feature engineering techniques, Experience with machine learning algorithms, Live within commuting distance of New York
Nice to Have
Experience utilizing graph theory, Experience creating interactive data visualization interfaces
What You'll Do.
Build production trading systems
Create automated infrastructure
Develop data and model build tools
Manage data and model build tools
Improve trading system capabilities
Improve trading system performance
Improve trading system reliability
Improve trading system scalability
Improve trading system throughput
How You'll Work.
Team & Collaboration
Collaboration; Meritocracy; Ambition; Calm determination
Full Job Description
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 progra
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