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Junior Quantitative Software Developer in New York – build scalable data solutions for finance.
Join a small team delivering high-quality data to top systematic portfolio managers.
Role/Responsibilities
We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.
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.
Requirements
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.