Aquatic is looking for exceptional Quantitative Researchers to create and improve proprietary trading models and strategies while working closely with engineers and senior leaders across the firm.  Quantitative Researchers within Aquatic work on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time.

Specific responsibilities range from utilizing financial and other data in an effort to create or improve predictive models, developing and/or leveraging leading-edge statistical and machine-learning models to enhance the research and development system, creating algorithms to monetize the predictive signals.

Technical requirements:

  • PhD or Postdoc candidates in finance, computer science, mathematics, statistics, machine learning, physics, or other scientific discipline
  • Solid mathematical and analytical ability; exceptional problem-solving and modeling ability
  • Demonstrated ability to complete high level, statistical or applied mathematical research
  • Prior experience in a quantitative role within a trading environment a plus
  • Experience in solving highly complex, data intensive problems
  • Programming proficiency in any of the following: C++, Java, R, or Python

Behavioral requirements:

  • Strong research hygiene
  • Self-motivated and highly-productive, with a strong sense of ownership and urgency
  • Intellectually curious, creative, and rigorous
  • Excellent communication and collaboration skills
  • Meticulous attention to detail
  • Able to work across disciplines
  • Willing to take ownership of his/her work, working both independently and within a small team
  • Driven and tenacious approach with desire to build something scratch

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 

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 investment manager with a collaborative team of highly capable researchers and engineers.

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. 

Apply for this Job

* Required
resume chosen  
(File types: pdf, doc, docx, txt, rtf)
When autocomplete results are available use up and down arrows to review
+ Add another education


Our system has flagged this application as potentially being associated with bot traffic. Please turn off any VPNs, clear your browser cache and cookies, or try submitting your application in a different browser. If this issue persists, please reach out to our support team via our help center.
Please complete the reCAPTCHA above.