# Software Engineer, Intern (Summer 2027) at Aquatic Capital Management

Software Engineer, Intern (Summer 2027) at Aquatic Capital Management in Chicago. Remote, internship. Posted April 1, 2026.

- Company: Aquatic Capital Management
- Location: Chicago
- Workplace: Remote
- Job type: Internship
- Posted: 2026-04-01
- Apply: https://job-boards.greenhouse.io/aquaticcapitalmanagement/jobs/8489233002
- Source: https://jobmagic.ai/jobs/software-engineer-intern-summer-2027-aquatic-capital-management-q7vh9e

## 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

## Description

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:**

- 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.