Aquatic Capital Management

Quantitative Researcher, Early Career

Aquatic Capital Management • $150K — $200K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in mathematics, statistics, machine learning, physics, computer science, or a related field.
  • Up to 3 years of professional experience or actively pursuing a BS/MS with graduation expected in 2026 or 2027.
  • Proficient in quantitative analysis and problem-solving.
  • Strong programming skills in Python.
  • Experience with data-intensive projects and applied statistical or mathematical research.
  • Participation in mathematical competitions such as IMO or Putnam is advantageous.
  • Previous experience in a quantitative trading role is a plus.

Responsibilities

  • Collaborate with the team to develop quantitative trading signals.
  • Design and implement research systems using statistical methods.
  • Evaluate the effectiveness of trading strategies and models.
  • Contribute to diverse research projects in quantitative finance.
  • Engage in rigorous analysis and problem-solving activities.

Benefits

  • Fully paid medical, dental, and vision coverage for employees and dependents.
  • Competitive 401k plan and employer-paid life & disability insurance.
  • Wellness programs, casual dress policies, and snacks/lunch provided.
  • Access to a game room, team-building events, and company outings.
  • Opportunities for professional development in a learning-focused environment.
  • Generous PTO, paid holidays, and competitive caregiver leave policies.
Full Job Description
As a Quantitative Researcher, you will collaborate closely with a team to develop and implement quantitative trading signals, models, and strategies. Our role offers the opportunity to design, implement, and evaluate research systems components using rigorous statistical methodologies. As part of the team, you will gain exposure to diverse research areas, accelerating your expertise in quantitative finance.

Requirements:
  • A Bachelor's degree (BS) in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines is required.
  • Candidates may have up to 3 years of professional experience or be actively pursuing a BS or MS in these fields, with an expected graduation date in 2026 or 2027.
  • Demonstrated proficiency in quantitative analysis and problem-solving
  • Proficiency in Python programming
  • Prior experience tackling data-intensive challenges, conducting and completing statistical or applied mathematical research
  • Successful participation in mathematical competitions is a plus e.g., IMO, Putnam
  • Prior experience in a quantitative role within a trading environment a plus

Desired qualities:
  • Intellectually curious, creative, and rigorous
  • Willingness to challenge assumptions and revise opinions in the face of compelling evidence
  • Self-motivated and highly productive, with a strong sense of urgency and accountability
  • Willing to take ownership of one's work, working both independently and within a small team
  • Meticulous attention to detail
  • Ability to manage and prioritize multiple threads of work
  • Able to work across disciplines
  • Excellent communication and collaboration skills
  • Comfortable providing and receiving actionable feedback in a collaborative team setting

The base salary for this role is anticipated to be between $150,000 and $200,000, 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: For full-time employees, 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 in its early stage of growth. The firm's culture will be shaped by collaboration, meritocracy, ambition, and calm determination.

About Aquatic Capital Management

Aquatic Capital Management is a Los Angeles-based investment management firm that specializes in global equity investing. The firm was founded in 2005 by Chris Gottschalk, who serves as the firm's Chief Investment Officer. Aquatic Capital Management's investment philosophy is based on a fundamental, bottom-up approach to investing, with a focus on identifying high-quality companies with sustainable competitive advantages and attractive growth prospects. The firm manages a concentrated portfolio of long-term investments, with a focus on generating superior risk-adjusted returns over the long term.
Learn more about Aquatic Capital Management
Size
10 employees
Industry
Founded
2005

More Jobs at Aquatic Capital Management

More Finance & Insurance Jobs

Find similar Quantitative Researcher, Early Career jobs: