Aquatic is a quantitative trading and investment company recently launched by Jon Graham. Prior to founding Aquatic, Jon was a Partner and Senior Managing Director at Citadel, where he worked for more than 13 years. At Citadel, Jon held numerous senior positions over the years, including head of Statistical Arbitrage and Equity High Frequency, culminating in leading the highly successful Global Quantitative Strategies business.
Aquatic develops systematic investment strategies, enabled by a leading-edge research and development platform. The vision is simple: to build a world class, quantitative trading company with a collaborative team of highly capable researchers and engineers.Job Description:We are seeking a highly skilled and motivated Systems Engineer specializing in Trading Operations to join our dynamic team. The ideal candidate will have a strong background in systems engineering, a deep understanding of trading operations, and a passion for working in a fast-paced, high-stakes environment.
This role is critical to ensuring the reliability, performance, and scalability of our trading systems.Key Responsibilities:
System Design and Implementation:- Design, implement, and maintain robust, scalable, and high-performance trading (and support) systems.
- Collaborate with quantitative researchers, traders, and software developers to understand requirements and deliver solutions that meet business needs.
Trading Operations Support:- Monitor and support trading systems to ensure smooth and uninterrupted trading operations.
- Troubleshoot and resolve system issues in real-time, minimizing downtime and impact on trading activities.
Automation and Scripting:- Develop and maintain scripts and automation tools to streamline trading operations and system maintenance tasks.
- Implement automated monitoring and alerting solutions to proactively identify and address potential issues.
Performance Optimization:- Analyze system performance and identify bottlenecks or areas for improvement.
- Implement optimizations to enhance system efficiency, reduce latency, and improve overall performance.
Documentation and Training:- Create and maintain comprehensive documentation for system architecture, configurations, and operational procedures.
- Provide training and support to team members on system usage and best practices.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in systems engineering, preferably within the financial services or trading industry.
- Strong knowledge of trading systems, market data feeds, and order management systems.
- Proficiency in programming languages such as Python, C++, or Java.
- Experience with Linux/Unix systems and shell scripting.
- Familiarity with networking concepts, protocols, and technologies.
- Experience with the Grafana/Prometheus metrics stack
- Excellent problem-solving skills and the ability to work under pressure in a fast-paced environment.
- Strong communication and collaboration skills, with the ability to work effectively in a team-oriented setting.
Benefits:
- Benefits: Fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance
- Perks: Wellness programs, casual dress, snacks, lunch, game room, team and company events
- Development: Open environment to maximize learning and knowledge sharing
- Time: Generous PTO, paid holidays, competitive paid caregiver leaves
Aquatic Capital This role represents a unique opportunity to join a quantitative investment manager at the foundational level of building a world class operation from scratch. The firm’s culture will be shaped by collaboration, meritocracy, ambition, and calm determination. Aquatic is a proud equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
