Bloomberg technology drives the world’s financial markets. More than 6,500 technologists define, architect, build and deploy complete systems to fulfill the needs of leading financial market participants globally.
To advance the state of the art in AI, ML, and NLP, Bloomberg invests in the careers of doctoral students and their research in information retrieval, recommender systems, question answering, time series analyses, summarization, knowledge graphs, interpreting tabular data, and language models.
A conversation about ipydatagrid with Itay Dafna, one of the developers of the open source interactive data table widget for the Jupyter ecosystem
Bloomberg’s Derivatives Engineering team builds systems and products that enable clients to generate trade ideas, structure deals, connect to electronic trading platforms, capture market movements, and assess and hedge portfolio risk for these financial instruments.
4 NLP Papers from Bloomberg Researchers Published in “Findings of the ACL: EMNLP 2021” & Conference Workshop
Papers published in “Findings of the ACL: EMNLP 2021” and conference workshop present contributions to fundamental NLP problems in the areas of dialogue state tracking, document clustering & topic noise, and word embeddings
Papers published during the main EMNLP 2021 conference present contributions to fundamental NLP problems in the areas of headline part-of-speech tagging, relation extraction, discourse analysis and code switching
Learn about Bloomberg’s open source journey to utilize KServe, a cloud-native multi-framework ML model serving tool for serverless inference on Kubernetes, in its machine learning model inference platform
BLC Tech Community Partners with Puerto Rican Universities to Mentor Up-and-Coming Latinx Engineering Talent
New mentorship program aims to prepare Latinx engineering and computer science students for software engineering interviews and future careers at Bloomberg.
BQuant Behind the Scenes: How Bloomberg Leveled the Playing Field for Quantitative Analysis in Finance
A behind-the-scenes look at the development of Bloomberg’s new BQuant Enterprise Platform, which financial services firms are using to generate quantitative investment strategies
Engineers in Bloomberg’s PORT Engineering Group are responsible for building Bloomberg’s multi-asset portfolio and risk analytics solution used by finance professionals to implement optimal investment portfolio strategies, assess risk exposure, and make investment decisions.
A behind-the-scenes look at how Bloomberg’s Product, Engineering, and Global Data teams collaborated to build the Bloomberg Data Upload Portal (BDUP) to enable companies to report their data for the Bloomberg Gender-Equality Index.
ACL-IJCNLP 2021 papers present contributions to both fundamental NLP problems in the areas of question answering, syntactic or semantic analysis, and disentanglement, and to applications of NLP focused on extracting hybrid data from financial reports, as well as understanding sentences and online chats.
This SIGDIAL 2021 paper looks at the use of dialogue systems and community question-answering to improve enterprise help desk support live chat applications.
SIGIR 2021 papers present contributions to both fundamental information retrieval problems, and to the application of NLP to narrative creation, web table research, and the evaluation of task-oriented dialogue systems.
Learn more about the teams that three of our university interns in EMEA and APAC are working with, the projects they’re working on, and the technical skills they’re learning,
Engineers in San Francisco volunteered to develop the City of Chicago’s new Equity Dashboard in partnership with Bloomberg Associates; this effort was directed by Chicago’s Chief Equity Officer to assist the City with transparency around its hiring history and trends.
Learn more about the teams two of our U.S. college interns are working with, the projects they’re working on, and the technical skills they’re learning,
NAACL 2021 papers present contributions to both fundamental NLP problems in the areas of syntactic parsing and neural language modeling, and to applications of NLP focused on citation worthiness.
Bloomberg is providing a grant to the Python Software Foundation (PSF) funding a full-time Project & Community Manager for the Python Packaging ecosystem
Meet Evens, Jennifer, Christian, and Kerry, four Black technologists who have built their careers in Bloomberg’s Engineering and Global Data departments.
Bloomberg’s Global Data & CTO Data Science Teams Publish Best Practices for Data Annotation Projects
A practical guide to the planning, execution, and evaluation of annotation projects, which are critical to the success of AI/ML initiatives.