Quantitative Software Engineer

Edgestream Partners, L.P.

• $120K — $145K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's in Computer Science, Engineering, or related field.
  • Proficient in programming, especially Python, and software design.
  • Solid background in probability, statistics, and machine learning.
  • Experience with quantitative software libraries like numpy/pandas and scikit-learn.
  • Effective communicator in complex, technical team environments.
  • Intellectual curiosity and passion for problem-solving with technology.

Responsibilities

  • Maintain and enhance the quantitative software platform for scientific research.
  • Develop machine learning tools and research infrastructure with cross-functional teams.
  • Support researchers in conducting large-scale experiments with market and alternative data.
  • Collaborate with engineers and researchers to solve complex scientific problems.
  • Write elegant and efficient code for various projects within the team.

Benefits

  • Competitive salary, performance-based bonus, and incentives.
  • High ownership and visibility in a tight-knit, experienced team.
  • Access to extensive resources for technical and data challenges.
  • Comprehensive benefits including medical, dental, 401(k), and more.
  • Investment opportunities in Edgestream-managed funds for qualified employees.
  • Collaborative environment with mentorship and growth potential.
Full Job Description
Job Title: Quantitative Software Engineer
About the Job

The Research group at Edgestream consists of highly skilled scientists and engineers, working in collaboration to unravel some of finance's hardest problems. Within this group, our Quantitative Software Engineers have primary responsibility for the quantitative software platform which underpins our scientific endeavors. Together with the researchers and our engineering team, you will maintain and build novel machine learning tools and research infrastructure, and support researchers in running large-scale scientific experiments with market data and alternative data sources.

A successful candidate would care about writing elegant code, take satisfaction in building world class infrastructure, and enjoy using these skills to help build models that crack hard scientific problems.

This position will be located in either Princeton, NJ or New York, NY.

Required Qualifications:
  • 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.

Preferred Qualifications:
  • 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:
  • Competitive salary, bonus, and 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.


Please Note: Currently, we are not accepting H-1B applicants or sponsoring new H-1B visas.

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