The Ticker Plant system is a central hub of the Bloomberg market data infrastructure, processing daily volumes of several hundred billions of real time market events across 100 million instruments. The events originating in the Ticker Plant ultimately drive every financial function on the Bloomberg Terminal and, through a range of Bloomberg Enterprise solutions, feed into trading and analytics back-end platforms of major financial institutions worldwide. The Feeds Logic team within the Ticker Plant focuses on development and support of technologies and solutions to facilitate integration of new data streams into the system. This mission is absolutely critical for ensuring that the entire universe of Bloomberg product offerings is constantly supplied with the most current and accurate market data. The Feeds Logic team is distributed across the Bloomberg New York, London and Hong Kong offices. This posting is for our London location. What are we looking for? We are looking for problem solvers who enjoy a good challenge. The Ticker Plant at its core contains logic that normalizes venue-specific behavior into conformance with the Bloomberg Data Model. The complexity of this logic reflects the combined complexity of all execution venues across global financial markets. As such, effective management of this logic requires a sophisticated layer of automation that our team is working to create. You will find this area exciting if you enjoy the voyage of discovery, are able to handle uncertainty, and enjoy breaking down a complex whole into manageable parts. Due to the centrality of the Ticker Plant, our work has a profound impact across Bloomberg. Supporting and evolving a critical system of this scale and complexity presents unique and interesting challenges, which we invite you to help us tackle! Our technologies? We work primarily in C++ and Python, using a range of open source and bespoke software packages. We are open to applicants without prior experience in these languages, who possess proven software engineering background in similar technologies. What's in it for you? Gain hands-on experience and understanding of challenges involved in designing, evolving, and maintaining large scale critical enterprise systems Join a diverse multicultural group of versatile engineers, with an opportunity to move between teams or regions as your expertise develops and your interests evolve Make an impact visible across the global financial services industry You'll need to have: Experience working with an object-oriented programming language (C/C++, Python, Java, etc.) A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms Pragmatic engineering approach with focus on real world problem solving, not letting perfect be the enemy of good We'd love to see: A background of refactoring and simplifying relationships between components and data flows Experience working for a market data processor Experience working on high-throughput real time systems