> Markdown version of [/jobs/ext/4572046-quantitative-software-engineer](https://www.wearedevelopers.com/jobs/ext/4572046-quantitative-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Quantitative Software Engineer - **Company:** Edgestream Partners, L.P. - **Location:** Princeton, NJ, United States - **Contract:** Permanent contract - **Skills:** Algorithmic Trading, Computer Programming, Data Transformation, Data Structures, Python (Programming Language), Machine Learning, NumPy, Systems Development Life Cycle, Software Engineering, Pandas, Scikit Learn, Information Technology, Software Library - **Published:** November 4, 2026 - **Apply:** https://www.careerbuilder.com/job-details/quantitative-software-engineer-princeton-nj--68f1c532-d047-4f09-9b13-367c92d0b92a ## About the Role Software Engineering, Analysis Skills, Investment Management, Trading Systems, Stock Market, Scalable System Development, Financial Mathematics, Technical Leadership, Financial Modeling, Technical Research, * A Bachelor's or Master's degree in Computer Science, Engineering, or a closely related field. * Exceptional proficiency in programming (Python preferred) and software design. * Strong analytical foundation, including familiarity with probability, statistics, and machine learning. * Demonstrated experience utilizing quantitative software libraries such as numpy/pandas, scikit-learn, or equivalent packages. * The ability to communicate effectively within a complex, highly technical, and collaborative team environment. * A genuine intellectual curiosity and a passion for using technology to solve challenging problems., * Deep familiarity with financial market data structures, including equities, futures, and FX datasets. * Familiarity with numerical optimization techniques * Experience building resilient, parallelized data transformation architectures for machine learning and statistical analysis and reporting.