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Software Engineer Intern

Aquatic Capital ManagementAdded 1mo ago

Chicago, ILInternship

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Quick summaryby newgrad.ai

What you'll do

  • Develop fast, scalable systems supporting investment research and trading operations
  • Collaborate with engineers and quantitative analysts on infrastructure improvements
  • Fine-tune systems for minimal latency and maximum data throughput
  • Make meaningful contributions to production systems and analytical workflows

What they're looking for

  • Currently enrolled in degree program (BS, MS, or PhD) in quantitative field like math, statistics, ML, physics, or CS
  • Graduating between Fall 2027 and Summer 2028
  • Proficiency with Python and/or C++
  • Deep knowledge of algorithmic design, computer systems, and architecture
  • Ability to perform well in dynamic team settings with strong initiative

Pay and perks

  • Complete medical, dental, vision coverage extending to dependents
  • 401k matching and employer-provided life and disability protection
  • Wellness initiatives, relaxed dress code, refreshments, recreational facilities, social events
  • Flexible time off, paid holidays, paid family leave options

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 Software Engineering Intern at Aquatic, you will join a fast-moving team building high-performance, distributed systems that power our research and trading infrastructure. You'll work closely with experienced engineers and quants to design tools, improve system reliability, and optimize our platform for low-latency, high-throughput data processing. This is a hands-on, impactful role—your work will directly influence live systems and research workflows.

Requirements

  • Active student pursuing a BS, MS, or PhD in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines with an expected graduation date between Fall 2027 and Summer 2028.
  • Solid programming skills in Python and/or C++
  • Strong understanding of algorithms, systems, and computer architecture
  • Curiosity about how things work, and a desire to build systems that do things better
  • Ability to thrive in a collaborative, fast-paced environment
  • Learn software design and testing techniques, such as Refactoring and Test Driven Development

Candidate qualities

  • Strong bias for action
  • Driven by accountability and internal urgency
  • Desire to independently seek best solutions
  • Preference for working in a team that focuses on delivering results aligned with Research goals
  • Comfortable providing and receiving actionable feedback in a collaborative team setting
  • Motivated by an ambitious environment and driven colleagues

Benefits

  • For full-time employees, fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance
  • Wellness programs, casual dress, snacks, lunch, game room, team and company events
  • Open environment to maximize learning and knowledge sharing
  • Generous PTO, paid holidays, competitive paid caregiver leaves

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.

From Aquatic Capital Management's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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