Job Board

Bloomberg’s internal and enterprise compute and data science solutions were established to support development efforts around data-driven compute, machine learning, and business analytics. Both the Data Science Platform and BQuant Platform are solutions that aim to provide scalable compute, specialized hardware and first-class support for a variety of workloads such as Spark, Trino, and Jupyter. These solutions are built using containerization, container orchestration and cloud architecture.

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The Bloomberg API Platform’s mission is to offer data and services over high-quality APIs to our customers. The API Platform team supports hundreds of API products that unlock financial data for clients across the global capital markets. Our engineers are responsible for the end-to-end developer experience for both our peers on Bloomberg API product teams that develop Bloomberg APIs and the technologists in Bloomberg client firms that consume them.

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BQuant is Bloomberg’s cutting edge financial research and data science platform. With the tremendous growth of market data and the increasing sophistication of machine learning and quantitative methods, finance is quickly becoming a business where only the best capitalized firms can compete. BQuant’s mission is to change that, by empowering researchers and investment decision makers around the world with the sophisticated tools that are currently only available to the largest investment firms.

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We are seeking an innovative Director of Professional Services - Open Source with leadership experience and an understanding of the PyData ecosystem to join our team. You will manage and grow Quansight’s technical consulting business in a target domain.

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As a Senior Build Engineer and Conda Packaging, you will work on various open source and consulting projects, focusing on the conda ecosystem, tooling, and automation for packaging for Python users. Part of your time will be spent improving and maintaining conda-forge and conda-store.

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As a Senior PyData Software Developer, you will be a key member of our team solving problems for our clients using tools from the Python open-source ecosystem. As appropriate, you will help maintain and push developments back upstream to open source projects. We are especially interested in people with a strong technical background who have experience and an interest in becoming technical leads.

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We are looking for motivated software engineers with experience and interest in numerical and high-performance computing. Have you noticed Python’s explosion in data science and machine learning and tools like PyTorch, NumPy, Numba, and Dask? Come help support this community and build out the future of the open source python computing ecosystem.

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A core part of this position will involve contributing to CPython and helping improve and maintain CPython itself and other key open source projects in the Python ecosystem, with an initial focus on improving free-threading in CPython.

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