Software Engineer - Machine Learning Systems

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: (Base salary information is incomplete - further details needed)

Aquatic is a quantitative trading firm dedicated to applying scientific research and technological innovation to global financial markets. The company’s vision is to build the world’s leading quantitative trading firm by harnessing the power of data and fostering a culture of continuous growth and innovation. They are seeking a Software Engineer to build and maintain Machine Learning systems in production, partnering with the Quantitative Research team.

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 and portfolio researchers to improve the profitability of trading tactics.

Requirements

Technical Experience

• At least 4+ 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.

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

Notes

• No experience required in finance and/or quantitative trading; interest is beneficial.
• Salary information is incomplete.