Skip to main content

Aquatic Capital Management

Quantitative Researcher, Early Career

Chicago, Illinois, United States +1

Location
Chicago, Illinois, United States · New York, United States
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Data & AI
Pay
$150K – $200K a year (read from the ad)
Posted
7 months ago

About the role

Aquatic was founded with a shared passion for tackling some of the most complex challenges in one of the world’s most competitive arenas—global financial markets. From the very beginning, we have been driven by a deep commitment to applying cutting-edge scientific research and technological innovation to deliver unparalleled performance. Our journey is one of continuous growth and exploration, marked by a spirit of curiosity and relentless drive for excellence.

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.

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.

Artificial Intelligence in Recruitment

Aquatic may use artificial intelligence and other automated tools to support certain aspects of our recruitment process. These tools may assist in reviewing application materials, analyzing candidate-provided information, and evaluating qualifications relevant to open positions. Information you submit during the application and interview process may be processed using these technologies.

Source

Posted by Aquatic Capital Management on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 04:39 UTC; the original is the reference.

View the original ad ↗

More at Aquatic Capital Management

  • Aquatic Capital Management · New York, United States

    Senior$150K – $225K a yearMarketing

    Lead efforts to raise new capital for Aquatic, bringing in commitments from prospective investors, with a particular focus on international investors.; Identify and develop prospective investors through existing and new networks of contacts.; Meet and build relationships with…

  • Aquatic Capital Management · Chicago, Illinois, United States

    Entry level$90K – $120K a yearFinance

    Month-end close for the management company.; Build and maintain the management company's annual budget and rolling forecasts, and prepare budget-to-actual and variance analyses.; Review fund administrator books and investor statements, and assist with investor reporting for the…

  • Aquatic Capital Management · Chicago, Illinois, United States +2

    Senior$150K – $300K a yearData & AI

    Build and maintain quant-ready data archives that researchers can trust for correctness, completeness, and consistency.; Implement, enhance, and standardize data pipelines and the data processes around them.; Build domain expertise in the content of the data products we…

  • Network Engineer

    3 weeks ago

    Aquatic Capital Management · Chicago, Illinois, United States +2

    Senior$150K – $300K a yearIT

    Ownership of Aquatic's networks across three domains: Research/HPC, Corporate/Office, and Production Trading.; Design, build, and maintain low-latency, multicast-heavy production trading networks, including market data distribution and exchange connectivity.; Build and scale…