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
Candidate Qualities
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:
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.
