Bloomberg Global Data Program reviews

Lack of Career Growth Monotonous work Constantly changing technology that are never used. Spend weeks working to implement new technology and structure only for the structure to change when the work is completed. Changing technologies are almost impossible as some systems are decades old and have dependencies that seem like they will never be changed Projects are given without scoping out possibilities and dependencies. Decisions are made from the top level without an understanding of what is actually possible. Made based on what management think will work Very little communication between Data and R&D side both which have completely different understanding of systems and time allocated. Makes joint projects very difficult especially when Data pushes one thing which R&D says is impossible

- some teams within the same department do quite sophisticated work, while others "copy-paste" - if you apply for a job ask lots of questions on what exactly you're going to do and what tools/software you'll use/need to learn; - inconsistent pay across company and further salary increases that are not as high as in this industry for people with that knowledge of data management and understanding of financial markets; - unless you really push for it, it is hard to develop yourself in a long term (+3 years) without changing the department or becoming a manager;