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Edgestream Partners, L.P.
Posted 142 days agoVerified live 16h ago
Quantitative Software Engineer
Brief overview
Princeton, NJIn-person
UndergradOr in progress
1 green cardsCertified filings
Programming in PythonSoftware designProbabilityStatisticsMachine learningUsing numpy/pandasUsing scikit-learnFinancial market data structuresNumerical optimizationBuilding resilient, parallelized data transformation architectures
About the company
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Edgestream Partners, L.P.edgestreamlp.com
Edgestream Partners, L.P. ("Edgestream") is devoted to institutional investment management in an ever-changing world.
Visa sponsorship history
1 year sponsoring, last filed FY2024
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.1PERM certified
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20241
Sponsored employees from
India
Job description
Summary
Edgestream Partners is a team of scientists, engineers, and investment professionals dedicated to developing quantitative models of financial markets. The Quantitative Software Engineer will be responsible for maintaining and building the quantitative software platform that supports scientific research and large-scale experiments with market data.
Responsibilities
- Maintain and build novel 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 world class infrastructure
Skills
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- 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
Benefits
- Bonus
- Incentive compensation tied to overall firm performance
- High ownership and visibility within a close-knit team of experienced engineers and seasoned researchers
- Access to extensive technical and data resources developed over decades of systematic trading
- Comprehensive, first-class benefits, including medical and dental coverage, 401(k), HRA, FSA, life insurance, catered lunch, and an onsite gym
- For qualified employees, the opportunity to invest in Edgestream-managed funds
- A collaborative and intellectually rigorous environment with strong mentorship and long-term growth opportunities
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