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.