Quantitative Trading Strategist

4 days ago


New York, New York, United States Aquatic Capital Management Full time
Aquatic Capital Management: Quantitative Researcher

Aquatic Capital Management is seeking a highly skilled Quantitative Researcher to join our team. As a Quantitative Researcher, you will be responsible for creating and improving proprietary trading models and strategies, working closely with engineers and senior leaders across the firm.

Key Responsibilities:

  • Develop and implement advanced statistical and machine-learning models to enhance the research and development system.
  • Create algorithms to monetize predictive signals and improve trading performance.
  • Collaborate with engineers and senior leaders to design and implement new trading strategies.
  • Conduct independent research and originate research topics to drive business growth.

Requirements:

  • At least 4+ years of full-time professional experience in a quantitative role within a trading environment.
  • Bachelor's, Master's, PhD, or Postdoc degree in finance, computer science, mathematics, statistics, machine learning, physics, or other scientific discipline.
  • Solid mathematical and analytical ability, with exceptional problem-solving and modeling skills.
  • Demonstrated ability to complete high-level, statistical or applied mathematical research.
  • Programming proficiency in Python, C++, Java, or R.

Benefits:

  • Competitive salary range of $150,000 to $300,000.
  • Discretionary bonus and benefits package, including fully paid medical, dental, and vision for employees and dependents.
  • Generous PTO, paid holidays, and competitive paid caregiver leaves.
  • Open environment to maximize learning and knowledge sharing.

Aquatic Capital Management is an equal opportunity workplace and does not discriminate based on 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.



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