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aquaticcapitalmanagement

Software Engineer

Company: aquaticcapitalmanagement

Location: Chicago, IL

Posted on: July 05

Aquatic Capital Management

Role: Software Engineer, Machine Learning Systems

Location: Illinois (Chicago) or Remote (e.g., California)

At Aquatic, we are actively recruiting for a Software Engineer experienced in developing, managing, and maintaining Machine Learning systems in production. In this role, you will partner with the Quantitative Research team to build battle-tested production trading systems and create automated infrastructure to accelerate delivery of new models to live trading.

RoleDetails

  • Develop and manage high quality, robust and efficient data and model pipelines
  • Build tools that bring our models to live trading efficiently and in an automated, reproducible fashion
  • Improve capabilities, performance, reliability, scalability and throughput of trading systems
  • Work closely with quantitative, portfolio researchers to improve the profitability of trading tactics

Technical Experience:

  • At least 3+ years of full-time professional software development experience
  • Previous experience with building and maintaining production machine learning systems and real-time data ingestion
  • Strong background in software engineering and quantitative analysis
  • Expertise in Python and/or C++
  • Comfortable with iterative software development; high standards for software quality and hygiene
  • No experience required in finance and/or quantitative trading; interest is beneficial

Candidate Qualities:

  • Strong bias for action
  • Driven by accountability and internal urgency
  • Desire to independently seek best solutions
  • Preference for working in a team that focuses on delivering results aligned with Research goals
  • Comfortable providing and receiving actionable feedback in a collaborative team setting
  • Motivated by an ambitious environment and driven colleagues

Aquatic Capital

Aquatic is a quantitative trading and investment company recently launched by Jon Graham. Prior to founding Aquatic, Jon was a Partner and Senior Managing Director at Citadel, where he worked for more than 13 years. At Citadel, Jon held numerous senior positions over the years, including Head of Statistical Arbitrage and Equity High Frequency, culminating in leading the highly successful Global Quantitative Strategies business.

Uncluttered by legacy platforms and processes, Aquatic develops systematic investment strategies, enabled by a leading-edge research and development platform. The vision is simple: to build a world class, quantitative investment manager with a collaborative team of highly capable researchers and engineers.

This role represents a unique opportunity to join a distinguished and hugely successful quantitative investment manager at the foundational level of building a world class operation from scratch. The firms culture will be shaped by collaboration, meritocracy, ambition, and calm determination.