Quantitative Software Engineer

Edgestream; Princeton (KY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive pay

Bonus program

Data resources

Catered lunch

Onsite gym

Growth opportunities

Job summary

Edgestream’s Research group seeks a Software Engineer to help build quantitative software platforms for scientific exploration. You will maintain and extend ML tools and infrastructure, enabling researchers to run large-scale experiments with market data and alternative datasets.

The role emphasizes writing elegant, robust code and delivering scalable systems in a collaborative setting across Princeton, NJ or New York, NY. A strong background in Python, ML, and numerical libraries is essential.

Qualifications

• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related field.
• Strong Python programming and software design capabilities.
• Solid grounding in probability, statistics, and machine learning.
• Experience with NumPy/Pandas, scikit-learn or equivalent libraries.
• Ability to communicate effectively within a technical, collaborative team.
• Curiosity and passion for using tech to solve hard problems.

Responsibilities

• Maintain and build machine learning tools and research infrastructure.
• Support researchers running large-scale experiments with market data.
• Develop elegant code and robust, scalable software systems.
• Collaborate with researchers and engineers to tackle hard scientific problems.

Skills

Python programming

Software design

Machine learning

Numerical libraries

Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

NumPy

Pandas

scikit-learn

Job description

About Us

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

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

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

About the Job

The Research group at Edgestream consists of highly skilled scientists and engineers, workingin collaboration to unravel some of finance’s hardest problems. Within this group, ourQuantitative Software Engineers have primary responsibility for the quantitative softwareplatform which underpins our scientific endeavors. Together with the researchers and ourengineering team, you will maintain and build novel machine learning tools and researchinfrastructure, and support researchers in running large-scale scientific experiments with marketdata 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 relatefield.
• Exceptional proficiency in programming (Python preferred) and software design.
• Strong analytical foundation, including familiarity with probability, statistics, and machinelearning.
• 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, andcollaborative team environment.
• A genuine intellectual curiosity and a passion for using technology to solve challengingproblems.

Preferred Qualifications:

• Deep familiarity with financial market data structures, including equities, futures, and FXdatasets.
• Familiarity with numerical optimization techniques
• Experience building resilient, parallelized data transformation architectures for machinelearning 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 andseasoned researchers.
• Access to extensive technical and data resources developed over decades of systematictrading.
• 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.