Software Engineer, Intern (Summer 2026) at Aquatic Capital Management

Chicago, Illinois, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Quantitative Finance, TradingIndustries

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 2026 and Spring 2027
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
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

Responsibilities

Join a fast-moving team building high-performance, distributed systems that power research and trading infrastructure
Work closely with experienced engineers and quants to design tools
Improve system reliability
Optimize platform for low-latency, high-throughput data processing
Contribute to hands-on, impactful work that directly influences live systems and research workflows

Skills

Distributed Systems

High-Performance Systems

Low-Latency Processing

High-Throughput Data Processing

System Reliability

Aquatic Capital Management

Quantitative investment management for institutional clients

About Aquatic Capital Management

Aquatic Capital Management specializes in quantitative investment management, focusing on creating financial models that predict market movements. The company uses advanced research and development techniques, employing a team of skilled researchers and engineers to develop data-driven investment strategies for institutional clients like hedge funds and pension funds. Aquatic's products work by leveraging mathematical models and algorithms to analyze market data and generate insights that help clients maximize their returns. Unlike many competitors, Aquatic operates without the limitations of outdated systems, allowing for greater agility and responsiveness to market changes. The company's goal is to build the best prediction machine in the industry while fostering a collaborative and innovative workplace culture that attracts top talent.

Chicago, IllinoisHeadquarters

2015Year Founded

VENTURE_UNKNOWNCompany Stage

Fintech, Quantitative FinanceIndustries

11-50Employees

Benefits

Vacation

Mentoring and development programs

Weekly happy hours

Daily catered meals

Risks

Competition from new hedge funds may challenge Aquatic's market position.

Brand confusion may arise from Motive Offshore's acquisition of Acteon's Aquatic business.

Regulatory scrutiny on quantitative strategies could increase compliance costs for Aquatic.

Differentiation

Aquatic leverages advanced R&D to create sophisticated financial models for market prediction.

The company operates without legacy constraints, allowing agility in market response.

Aquatic's culture attracts top talent with a focus on collaboration and innovation.

Upsides

Rising ESG investing interest could attract more institutional clients to Aquatic.

Alternative data sources enhance predictive accuracy in Aquatic's quantitative models.

Machine learning advancements align with Aquatic's focus, improving their competitive edge.

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