Global Data - Data Scientist - Funds & Portfolios
Posted Sep 21, 2018 - Requisition No. 70856
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 Funds & Portfolios team is responsible for the full lifecycle of data relating to all types of funds and collective investment schemes across Europe, Middle East, and Africa. We provide the financial community with high quality fund descriptive and pricing data, fund portfolio holdings as well as regulatory information through the Bloomberg terminal and Bloomberg Enterprise Solutions, creating a powerful platform for detailed analysis of funds.
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:
- 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
You’ll need to have:
- An MA/MS degree or higher in a quantitative field or at least two 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
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!
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