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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.

As a Quantitative Researcher, you'll develop trading signals and models, implement research components, and evaluate them using statistical methods in a collaborative environment.

As a Quantitative Researcher, you will develop and implement quantitative trading signals and models, using statistical methodologies to evaluate research systems components.

As a Software Engineering Intern, you'll build high-performance systems for research and trading, collaborating with engineers to enhance system reliability and processing efficiency.