Teams at Aquatic Capital Management

Build and operate the production platform that deploys code, models, and data into global live trading systems. Own build and release tooling, deployment orchestration, observability, rollback, alerting, failure recovery, and automation. Partner with research, engineering, and trading operations teams to improve reliability, eliminate manual processes, and establish maintainable engineering standards using Python and distributed-systems technologies.

Quantitative Researchers at Aquatic create and improve trading models using data and statistical methods, collaborating with engineers and leaders.

The Systems Engineer will manage and improve the compute infrastructure for research and trading at Aquatic, focusing on HPC, storage systems, developer experience, and providing mentorship.