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.
Uncluttered by legacy platforms and processes, 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.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 and our CTO.
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.
