Jobs at Aquatic Capital Management

Early-career software engineers rotate through two or three technology teams, building systems for a quantitative investment firm. Responsibilities include software development in Python or C++, collaboration with senior mentors, and learning software design, refactoring, testing, and test-driven development. Candidates need a computer science or related bachelor's degree, software-building experience, and preferably knowledge of event-driven architectures, distributed systems, and quantitative methods.

Lead institutional capital raising and investor relations for a quantitative investment manager. Responsibilities include developing prospective and existing investor relationships, securing commitments, managing investor communications and materials, refining fundraising strategy, representing the firm at industry events, traveling internationally, and sharing market feedback to guide business development and firm strategy.

Supports accounting for management companies, general partners, and investment funds. Responsibilities include month-end close, budgeting and forecasting, variance analysis, fund administrator and investor statement review, expense processing, regulatory reporting, audits, tax filings, and investor reporting. The role also uses AI to automate finance workflows, assists with accounting platform implementation, and collaborates with auditors, tax advisors, Finance, and Operations.

Develop and maintain production-grade market data feed handlers and quant-ready data archives supporting research and trading. Work with C++ and Python across proprietary equities protocols, order book data, normalization, gap detection, reconciliation, and backfills. Collaborate with quantitative researchers, support expansion into global markets, improve data systems, and mentor teammates. The role requires strong understanding of market microstructure, venue-specific behavior, and maintainable engineering practices.

Design, build, maintain, and expand research, corporate, and low-latency production trading networks across global offices. Responsibilities include multicast market-data distribution, exchange connectivity, HPC and GPU-grid networking, monitoring, packet capture, infrastructure-as-code automation, network change management, and occasional datacenter operations. The role collaborates with Infrastructure, Research, Engineering, and Datacenter teams to deliver scalable, repeatable network designs.

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.