
About Aquatic Capital Management
Transforming investment strategies through data and innovation
Key Highlights
- Located in Chicago, Illinois
- Specializes in systematic investment strategies
- Team size of 11-50 employees
- Focus on disciplined risk management
Aquatic is a systematic investment firm based in Chicago, Illinois, specializing in quantitative trading strategies. The company leverages a high-performance research and development platform to optimize investment decisions while maintaining rigorous risk management protocols. With a team of 11-50 ...
🎁 Benefits
Aquatic offers competitive salaries, equity options, flexible remote work arrangements, and a generous PTO policy to support work-life balance....
🌟 Culture
Aquatic fosters a data-driven culture that prioritizes innovation and collaboration, encouraging employees to explore new ideas and technologies in th...
Skills & Technologies
Overview
Aquatic Capital Management is hiring a Research Engineer to blend software engineering with quantitative research. You'll focus on designing high-performance tooling for machine learning models in systematic trading. This role requires expertise in Python and machine learning techniques.
Job Description
Who you are
You have a strong background in software engineering and quantitative research, with a focus on developing high-performance tooling for machine learning applications. Your experience includes working with numerical computation methods and training deep learning models, which are essential for the systematic trading environment at Aquatic Capital Management. You thrive in collaborative settings, working closely with quantitative researchers to bring innovative modeling approaches to life.
You are proficient in Python and have hands-on experience with machine learning frameworks. Your understanding of GPU acceleration and the latest ML compiler technologies allows you to optimize distributed model training and inference effectively. You are committed to establishing best practices for clean code and efficient workflows, ensuring that the software you develop is reliable and scalable.
What you'll do
As a Research Engineer at Aquatic, you will scale neural network training systems to support larger and more complex models while maintaining the ability to run multiple experiments simultaneously. You will explore and prototype novel modeling approaches, such as more efficient decision trees and the latest transformer variants, to enhance the firm's machine learning strategy. Collaborating with researchers, you will take promising models quickly and reliably into production, ensuring that they meet the high standards required in the financial markets.
Your role will involve profiling and optimizing distributed model training and inference, leveraging GPU acceleration and advanced ML compiler technologies. You will also be responsible for establishing best practices for clean code and efficient workflows, contributing to a culture of collaboration, meritocracy, and ambition within the research team. Your work will play a central role in driving the firm's machine learning initiatives, making a significant impact on the firm's performance in global financial markets.
What we offer
Aquatic Capital Management offers a dynamic work environment where innovation and collaboration are at the forefront. You will have the opportunity to work with cutting-edge technologies and contribute to the development of high-performance machine learning models. The firm values curiosity and a relentless drive for excellence, providing a supportive atmosphere for professional growth and exploration. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products.
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