Aquatic was founded with a shared passion for tackling some of the most complex challenges in one of the world’s most competitive arenas—global financial markets. From the very beginning, we have been driven by a deep commitment to applying cutting-edge scientific research and technological innovation to deliver unparalleled performance. Our journey is one of continuous growth and exploration, marked by a spirit of curiosity and relentless drive for excellence.
At Aquatic, we believe in pushing the boundaries of possibility. Our vision is to create the world’s leading quantitative trading firm, built on a foundation of applied science and a culture of relentless innovation. By harnessing the power of data, we aim to unlock insights and transform them into strategies that succeed in even the most competitive global markets.
Our goal is simple: to build the world’s best prediction machine. To achieve this, we are constantly exploring new opportunities and expanding our reach across global markets. We are committed to attracting and nurturing top-tier talent—researchers and engineers who share our curiosity and drive. Together, we aim to foster a culture of lifelong learning and collaboration, where every challenge is seen as an opportunity for growth and innovation.
Quantitative researchers face material challenges to rapidly iterate on research and ship it to production. There are a number of tools and segmented workflows that make the ability to generate new research results difficult, especially in the face of an ever evolving open source community.
At Aquatic, we are looking for an experienced individual to help scale our machine learning platform to address these inefficiencies and make it simpler to deliver and trade research. This role will require someone to understand the underlying infrastructure (e.g., compute architecture involving GPUs, filesystem storage architecture) through to the software development & research engineering that is required to change the way researchers build and deploy quantitative trading models.
As a Research Business Manager, you will be the product manager for all of the above in partnership with our Head of Research.
Technical Experience
- Background in engineering, computer science or related field, or equivalent work experience
- Organizational skills that can be applied to overseeing project from inception to completion
- Must be able to program in Python
Candidate Qualities
- 5-10 years of experience, ideally in a top-tier technology firm or start-up with a focus on data science / business operations, partnering with R&D teams
- Rigorous analytical skills and experience with data analysis and/or software engineering tasks
- Excellent project management skills with a track record of organizing and delivering cross-functional projects with explicit timelines
- Strong bias for action
- Driven by accountability and internal urgency
- Comfortable providing and receiving actionable feedback in a collaborative team setting
- Motivated by an ambitious environment and driven colleagues
- Strong oral and written communication skills and the ability to present a polished, professional, and diplomatic image to all stakeholders
The base salary for this role is anticipated to be between $150,000 and $300,000, which is based on information at the time of posting. This position may also be eligible for additional forms of compensation, such as a discretionary bonus, and benefits. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.
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.
Top Skills
What We Do
Aquatic manages systematic investment strategies, combining a high-performance research and development platform with disciplined risk management. Our team of best-in-class researchers and engineers are working together in a relaxed environment optimized for collaboration, creativity, and performance. Because we are small and nimble, every voice counts. We value diverse backgrounds and are rooted in collaboration, meritocracy, ambition, and steady determination.
