Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

　　The Team:

　　At Bloomberg, our team is responsible for providing learning opportunities to develop the skills of our nearly 2,000 Data employees. We collaborate with all teams across Data to ensure that we deliver the highest quality educational development. We also roll up our sleeves to create our own platforms for the training and documentation.

　　We strive to make our curriculum exciting for both trainers and trainees; we use innovative interactive technology, and have a highly collaborative team, to ensure success for everyone. We aim to encourage participation and provide opportunities for trainees to learn from each other and the professionals within Data.

　　We'll trust you to:

　　Teach a variety of classes for experienced data professionalsCollaboratively define course structure, content, and delivery method to produce high quality trainingProduce technical user documentation and case studies to support self-directed and e-learningWork with domain experts to collaboratively craft content and deliver coursesDevelop a deep knowledge of Bloomberg technologies and work across functional teams to stay ahead of with rapidly advancing enhancementsCapture requirements from technical partners and continuously adapt to business prioritiesBe a problem solver and think creatively

　　You'll need to have:

　　Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role

　　3+ years of relevant work experience with a minimum of a bachelor's degree in Statistics, Computational Finance, or other STEM related fieldExperience in data quality management consultingGeneral familiarity with other data management domains, such as data governance and data modeling, and how they interact with data qualityProven experience in data profiling and using tools, such as Python, to perform data analysis on time series datasetsExperience in applying statistical, optimization, or econometric techniques to real-world datasets, to identify anomalies, perform sampling methods, find and communicate errors.Experience in crafting metrics and organization data product reportsSuperb communication skills, both written and verbal, and the ability to explain concepts in a concise, logical mannerA passion for learning, teaching, and mastering sophisticated system functionalityAbility to comfortably and confidently present to groups of 20+ people using a variety of delivery methodsAbility to learn new technologies and techniques quickly through instruction and self-trainingRelevant data training work experienceAbility to flexibly adapt to a changing environment

　　We'd Love to see:

　　Certification in DAMA CDMP or EDM DCAM similarAbility to lead discussions and actively influence the development of new strategies to improve course offerings

　　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!

　　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.

　　Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [email protected] (Americas), [email protected] (Europe, the Middle East and Africa), or [email protected] (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact +44 7852 764 684 or info@@employ-ability.org.uk.