Software Engineer

Chicago, Illinois, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Quantitative FinanceIndustries

Requirements

Candidates should possess at least 4 years of full-time professional software development experience, a strong background in software engineering, expertise in Python and/or C++, and comfort with iterative software development along with high standards for software quality and hygiene. Previous experience with building and maintaining production machine learning systems and/or real-time data ingestion is required, and while experience in finance and/or quantitative trading is not necessary, an interest in it is beneficial.

Responsibilities

The Software Engineer will develop and manage high quality, robust, and efficient data and model pipelines, build tools that bring models to live trading efficiently and in an automated, reproducible fashion, improve capabilities, performance, reliability, scalability, and throughput of trading systems, and work closely with quantitative and portfolio researchers to improve the profitability of trading tactics.

Skills

Python

C++

Machine Learning

Data Pipelines

Real-time Data Ingestion

Software Engineering

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 Unlike many competitors, Aquatic operates without the limitations of outdated systems, allowing for greater agility and responsiveness to market changes.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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