We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.
About the role
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:
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Building processes and technology tools to ingest, tag and clean datasets.
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Assisting Data Scientists with data processing, enrichment, and product development.
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Contributing to existing infrastructure and applications primarily written in Python, but also Go and C++.
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Monitoring and enhancing the automated data collection and cleansing infrastructure.
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Researching new technologies for improved data management and efficient retrieval.
Requirements
Requirements:
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B.S. or higher in computer science, engineering or a relevant quantitative field such as Mathematics, Statistics, Physics.
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Proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
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Proficiency with Go and/or C++ is not required but is a big plus
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Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
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Strong problem-solving skills, ability to analyze and solve intricate problems, optimize code, and develop efficient solutions in a fast-paced environment.