Search the 8 jobs at Aquatic Capital Management

The Systems Engineer will design, implement, and maintain high-performance trading systems, ensuring their reliability and scalability. Responsibilities include monitoring trading operations, developing automation tools, optimizing system performance, and providing documentation and training to team members.

The Research Business Manager will manage the development and scaling of the machine learning platform within Aquatic. This role focuses on improving research workflows by understanding technical infrastructure and software development in quantitative trading. Responsibilities include project management from inception to completion and collaborating with R&D teams.

The Research Engineer will develop software for researchers, investigate novel ideas through large-scale experiments, create scientific libraries, build tools for live trading, and develop various research projects and processes in a collaborative environment.

As a Quantitative Researcher at Aquatic, you will collaborate to develop and implement quantitative trading signals and models. The role involves designing, implementing, and evaluating systems using statistical methodologies while gaining expertise in quantitative finance.

As a Quantitative Researcher at Aquatic, you will create and enhance proprietary trading models and strategies while collaborating with engineers and senior leaders. Responsibilities include utilizing financial data to improve predictive models, developing statistical and machine-learning models, and creating algorithms for monetization. You will conduct independent research and tackle data-intensive problems, requiring strong analytical skills and programming proficiency.

As a Software Engineer at Aquatic, you will develop and manage robust data and model pipelines, improve trading system capabilities, and collaborate with the Quantitative Research team to automate model delivery for live trading.

As an Early Career Software Engineer, you will rotate through different technology teams to build systems crucial for the firm's profitability, engaging closely with senior engineers for mentorship. Responsibilities include hands-on development using Python or C++, learning software design techniques, and applying event-driven architectures and distributed systems knowledge.

As a Quantitative Researcher, you will develop signals, models, and strategies for trading, design components of the research system, and evaluate them using statistical methods, all within a collaborative team.