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Edgestream

Systematic quantitative investment management for institutions

Quantitative Software Engineer

Quantitative DevelopmentConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Engineering, or a closely related field.
  • Exceptional proficiency in programming, with Python preferred, and software design.
  • A strong analytical foundation, including familiarity with probability, statistics, and machine learning.
  • Demonstrated experience using 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.
  • All hired persons must verify identity and eligibility to work in the United States and complete the required employment eligibility verification document form upon hire.

Responsibilities

  • Maintain and build machine-learning tools and research infrastructure.
  • Support researchers in running large-scale scientific experiments with market data and alternative data sources.
  • Write elegant code and build robust, scalable infrastructure for quantitative research and systematic trading.

Desired Qualifications

  • Deep familiarity with financial-market data structures, including equities, futures, and foreign-exchange datasets.
  • Familiarity with numerical optimization techniques.
  • Experience building resilient, parallelized data-transformation architectures for machine learning, statistical analysis, and reporting.

About the Company

Edgestream

Systematic quantitative investment management for institutions

Edgestream Partners, L.P. manages institutional money using quantitative, fully-systematic strategies. It targets absolute returns by trading a diversified portfolio of liquid domestic and international instruments, guided by mathematical models rather than discretionary bets. The approach relies on systematic signals to decide trades across global markets. Distinguishing factors include a long track record (since 2003) in institutional investing, a formal registration as an Investment Advisor with the SEC and as a Commodity Pool Operator and Commodity Trading Advisor with the CFTC, and membership in professional associations that support its compliance and industry standing. Its goal is to deliver consistent absolute returns for institutional clients in a changing market environment.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Princeton, NJ
Founded
2003

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