Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills to identify innovative workflow efficiencies and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. We’re responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.

As a member of our News Indexing team, you will be responsible for automated classification of the world's most meaningful financial and economic news with the aim of furthering Bloomberg as a leader in the financial news market. We use proprietary and open-source software to automatically retrieve, parse, coordinate, and tag news from social media sites, news feeds, web sites, and other sources that run on the Bloomberg Professional Service. We also build and maintain our sophisticated taxonomy of classification tags according to clients’ needs.

We’ll trust you to: Use specialized software in order to build hierarchical rules that automatically classify Bloomberg and third-party news, as well as data from social media sites Be curious about news and perform research in order to identify news topics and modify or build news classification rules accordingly Identify accurate and reliable news sources and act as subject matter authority for the news product Find opportunities to build efficiency in our processes and execute on your ideas Collaborate with our partners in Product Strategy, Sales, Analytics, and Engineering to understand our clients’ needs and build a best-in-class news product Partner with our Sales and Analytics groups to promote our news product and ensure strong customer uptake Develop innovative processes focused on natural language processing, data science, machine learning, and text analysis as we build the next generation of Bloomberg’s proprietary news classification products Understand customer needs and markets to ensure data is fit for purpose, ready for use, and meets service level agreements (SLAs)   Coordinate and implement fast-paced data annotation and related workflows Be responsive, resourceful, flexible, and an excellent collaborator   Contribute to the creation of best practices and guidelines for governance  Balance the best of technical and product knowledge to implement solutions for customers Implement quality control strategies including development of quality control rules You'll need to have:

*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

A Bachelor's degree in; Finance, Business, Economics, STEM, or related degree/equivalent experience  4+ years’ of relevant work experience* Excellent problem solving skills and ability to pay close attention to detail Strong written and verbal communication skills Proven understanding of customer service and experience in building internal strong relationships with partners 2+ years of project management experience in information management* Interest/knowledge in financial and economic data and news Use sound judgment to escalate issues as they arise   Ability to adapt to priorities and product needs  Ability to work in the US without visa sponsorship now or in the future We'd love to see: A Bachelor’s degree in subject areas such as Library Science, Linguistics, Mathematics, Statistics, Data Science, Computer Science, or other computer-related specialization A related Masters Degree  Knowledge of U.S. market trends, themes, and drivers Experience working on data science projects and technologies, especially using NLP techniques to take care of unstructured text corpus Experience in editing, writing, curating, labeling or assigning news stories Demonstrated capability in data management, data processing, data analysis, and/or associated tools and technologies.  Understanding of a programming or query language and experience of using it for a data analysis (e.g. R, Python, JavaScript, SQL, etc.) Experience in using categorization, filtering or mining software (such as OpenCalais, Datasift, GNIP, Inxight, IDOL, Verity, Clear Forest, Microsoft Fast) Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.