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.

Role Details

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/or real-time data ingestion
Strong background in software engineering
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

The base salary for this role is anticipated to be between $150,000 and $300,000, which is based on information at the time of posting. This position may also be eligible for additional forms of compensation, such as a discretionary bonus, and benefits. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.

Software Engineer (Python)