About Us

Edgestream Partners is a team of scientists, engineers, and investment professionals dedicated to developing quantitative models of financial markets and deploying them in systematic trading strategies continuously across global markets. Our work sits at the intersection of research, technology, and investment management, where rigorous analysis and robust engineering come together to build scalable trading systems.

Our culture has more in common with a research lab or high-growth technology company than with a traditional financial institution. We value intellectual curiosity, creativity, diligence, and integrity. We focus on long-term thinking, investing in ideas and systems that are designed to endure and evolve as markets and technologies change. Collaboration is central to how we work - we believe that an open exchange of ideas and close collaboration across disciplines allow us to build stronger models and better infrastructure that can ultimately empower better outcomes.

Founded in 2003, Edgestream has grown into a firm where thoughtful, high-quality work can have a meaningful and lasting impact. We continue to expand our capabilities and are looking for talented individuals who are excited to contribute to a collaborative research environment and grow with us in the years ahead.

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 relate 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.

Legal disclaimer: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

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