Bloomberg runs on data, and in the Global Data team we're responsible for acquiring it and providing it to our clients. We collect, analyse, process and publish the data which is the backbone of our iconic Bloomberg Terminal- the facts and figures which ultimately move the financial markets. We apply problem-solving skills to identify innovative workflow efficiencies and we implement technology solutions to enhance our systems, products and processes- and all this while providing platinum customer support to our clients.
Our Company Outlook Data teams are responsible for the procurement and curation of estimates and other equity product data from our various sell side equity research contributors and other market players. This requires us to have an interest in understanding what factors impact the markets and companies we cover. Having this knowledge and being able to interpret it allows us to accurately reflect the average opinion of the market on various products on the Bloomberg Terminal.What's the role?
You're the type of person who loves unstructured data. You have probably run projects with data scraped from the web or a social media platform. You are passionate about natural language processing and have practiced applying some of the main NLP methodologies. You are a fast learner and are excited by the challenge of working in a stripped down Linux environment with access to state-of-the-art computing resources. You enjoy designing workflows and thinking about the end-to-end implementation of production technologies to improve our processes.
A key aspect of our work as part of Bloomberg's Global Data department is finding, extracting, and interpreting data in fund documents. To aid this process we develop machine learning algorithms to classify documents or extract key pieces of information most relevant for our clients. We use state of the art big data and machine learning technologies such as Spark, GPU clusters and machine learning libraries like scikit-learn and tensorflow.
You will develop algorithms in this technology stack that add meaningful value for our clients. Example projects could include the full range of NLP problems from classification to named entity extraction. We expect you to take lead on your work and collaborate with stakeholders to find opportunities for the application of NLP in our product.We will trust you to:
You'll need to have:
- Come up with innovative applications of NLP in our business
- Work in our big data and ML platform (HDFS/Spark, GPUs)
- Liaise with internal stakeholders
- Write production code (predominantly Python)
- Get hands on with our data and really understand the content we work with
- Guidance for more junior team-members
Does this sound like you?
- An MA/MS degree or higher in a quantitative field and greater than four years of demonstrable relevant work experience
- Experience applying a range of statistical and machine learning methods to real-world problems
- Applied proficiency with one or more programming/scripting languages (e.g. Python, Java, Scala, C++)
- Familiarity with software engineering best practices, including testing and version control
- Strong aptitude for problem solving, particularly to modify and enhance processes and workflows
- Project management skills: ideation, prioritization, communication, delivery
- Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business stakeholders and management
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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