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| Job Location | London |
| Education | Not Mentioned |
| Salary | Competitive salary |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent, full-time |
Deliver the Italian news that matters most to our clients. Youre the type of person who always knows about the latest news trends and has a real passion for text analysis and technology. Help to build the product which, in an instant, can deliver news to change the direction of our clients critically important business decisions. Do you have the creativity, customer relationship and technical skills to help us further improve our Italian-language news product If so, we are looking for you! Whats the RoleAs a member of our News Indexing team, you will be responsible for automated classification of the worlds most important Italian-language financial and economic news with the aim of further entrenching Bloomberg as the leader in the financial news market. You will use specialized software in order to create hierarchical rules that automatically classify Bloomberg and third-party news, as well as data from social media sites. You need to have a keen interest in news and perform research in order to identify news topics that are relevant to the Italian market and modify or create news classification rules accordingly. You will also identify opportunities to create efficiency in our processes and execute on your ideas. In order to build the strongest local-language products, you will closely collaborate with our partners in Product Strategy, Sales, Analytics and Engineering to understand our clients needs and build a market-leading Italian news product. You will also partner with our Sales and Analytics groups to promote our Italian news product and ensure strong customer uptake. Finally, you will have the chance to be involved in the fields of statistical classification, natural language processing and text analysis as we build the next-generation of Bloombergs proprietary news classification products. What we do in Content IndexingWe use proprietary and open-source software to automatically retrieve, parse, organize 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 complex taxonomy of classification tags according to our clients needs. Our work is not theoretical or hyper-specific - it is practical and impactful. What we look for: