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# Software Engineer

- **Company:** Two Sigma Investments, LLC.
- **Location:** New York, NY, United States (Remote available)
- **Salary:** $325,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Computer-Aided Design, Software Applications, Computer Engineering, Data Visualization, Relational Databases, Software Debugging, Python (Programming Language), Object-Oriented Software Development, Open Source Technology, Performance Tuning, Software Tools, Software Systems, SQL Databases, System Testing, Freeform SQL, Information Technology, Data Analytics
- **Published:** November 8, 2026
- **Apply:** https://www.dice.com/job-detail/2bd60a4a-93ba-42ca-b2af-259964676608

## About the Role

Minimum education required: Bachelor's Degree in Computer Science, Computer Engineering, Engineering Science or related Information Technology ("IT") Degree.

Skills required: Must have knowledge of the following software skills and technologies: Python, Java, SQL; relational database concepts and complex SQL queries; ability to engineer software automation functions; ability to create software system testing processes; ability to analyze and identify causes of performance problems (e.g. bottlenecks) in software systems; knowledge of and ability to create distributed and large-scale software systems design, implementation, and maintenance; ability to debug complex software systems, including across different internal tools and teams; ability to design software systems for scalability; object-oriented programming; Linux/Unix operating systems; understanding of mathematical concepts in quantitative finance including Linear Algebra, Probability and Statistics, and Time Series Analysis; and Financial Engineering. Must also pass company's required skills assessment.

## Description

Duties : Design and engineer simulation orchestration and financial analytical software that enable quantitative research. Develop/engineer software frameworks for experiment management and attribution analysis to measure research innovation. Design, engineer, implement, and enhance core components of the quantitative research platform. Engineer and maintain software infrastructure that assists data-driven trading decisions by modelers and portfolio managers. Modernize existing simulation and analysis software to improve accuracy, computational performance and cost efficiency. Engineer comprehensive testing frameworks to ensure reliability of mission-critical internal software systems. Gather and analyze software metrics from both operating systems and software applications to assist with performance tuning and fault finding. Design visualization tools to effectively communicate analysis results. Contribute to the architecture of high-performance, scalable software systems using both
open-source and proprietary technologies.