Key Facts

Remote From:

New York (USA)

Category: Software Engineer

Full time

Mid-level (2-5 years)

English

Hard Skills

Low Latency High Performance Computing Data Visualization Machine Learning Infrastructure Automation Evaluation Strategy Time Series Feature Engineering Operational Excellence

Other Skills

•
Collaboration
•
Problem Solving
•
Curiosity

Roles & Responsibilities

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
Experience developing time series data classification systems including feature engineering techniques and machine learning algorithms

Requirements:

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

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 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.

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