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# Quantitative Software Developer

- **Company:** Data Center Service Group, LLC
- **Location:** New York, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Program Optimization, Profiling, Continuous Integration, Data as a Services, Python (Programming Language), NumPy, Software Architecture, Data Processing, Pandas, Scikit Learn, Information Technology, Data Management, Software Version Control
- **Published:** August 1, 2026
- **Apply:** https://www.dice.com/job-detail/17134f15-5ccd-4aa1-bebc-487a79265801

## About the Role

* B.S. or higher in computer science, engineering or a relevant quantitative field such as Mathematics, Statistics, Physics.
 * Proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
 * Proficiency with Go and/or C++ is not required but is a big plus
 * Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
 * Strong problem-solving skills, ability to analyze and solve intricate problems, optimize code, and develop efficient solutions in a fast-paced environment.
 * Intellectual curiosity and a love of learning.
 * Strong oral and written communication skills.
 * Commitment to the highest ethical standards.

## Description

Cubist's data services group is looking for a junior Quantitative Software Developer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

This exceptional individual will be a member of a small team of data and software developers who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.

Responsibilities include:

 * Building processes and technology tools to ingest, tag and clean datasets.
 * Assisting Data Scientists with data processing, enrichment, and product development.
 * Contributing to existing infrastructure and applications primarily written in Python, but also Go and C++.
 * Monitoring and enhancing the automated data collection and cleansing infrastructure.
 * Researching new technologies for improved data management and efficient retrieval.


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