Senior Data Management Professional - Data Product Owner - Listed Derivatives Data

Job Description

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 analyticsthrough innovative technology - quickly and accurately. We optimize the value of our data by combining our domain and technical expertise to make our data fit for the purposes of our clients use cases. We apply analytics and modern data management techniquesto identify innovative workflows and technology solutions to improve the management of our data. Our Team:Our Listed Derivatives data team provides our clients with complete and accurate, normalized security listings and reference data for 25+ million active and 700+ million historical securities across more than 100 derivatives exchanges globally. We develop automateddata pipelines for the ingestion and publication of derivatives data, enhance our coverage and accuracy, and explore opportunities to expand our data product offering. With trading volumes rising continuously and contract structures growing in complexity,we rely on data management expertise, multi-functional collaboration, deep domain knowledge, and thoughtful automation to continuously deliver high quality data to our growing client base. Whats the RoleAs the Data Product Owner, youll help us improve and grow our offering of Listed Derivatives data. Using your deep market knowledge and understanding of our technical platforms, youll play a key role in designing and implementing strategies to enable efficientdiscoverability of derivatives products and fields as well as to facilitate seamless interoperability of our data with other Bloomberg data sets. You will be a thought leader for quality enhancements in our reference data and work closely with various partnersand stakeholders to integrate our solution into the wider architecture. You will join a distributed team of dedicated individuals and experts where your interests and passion will have a significant impact on our teams success. We trust you to:

• Develop and drive a strategy for Bloomberg derivatives data quality across markets and asset classes
• Liaise and collaborate with other stakeholders and downstream consumers where there are dependencies on derivatives data
• Contribute to the design and execution of data modeling strategies to enable discoverability of derivatives products and fields as well as seamless interoperability across data sets
• Contribute to the design and the implementation of strict quality control processes to ensure the most complete, timely, and accurate data offering by applying you market knowledge and understanding of client use cases
• Identify and close gaps in existing product offerings and expand to account for emerging client use cases
• Communicate and contribute to the prioritization of business needs that guide the future direction of derivatives data
• Train and mentor other team members

Youll 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.

• 4+ years of recent work experience in the financial services industry, focusing on the Listed Derivatives markets*
• Strong understanding of market players data needs and the strategic landscape within the Listed Derivatives market
• Demonstrated experience in data management, for example in improving data accuracy, completeness or timeliness
• A proven track record of successful project management skills and ability to prioritize tasks accordingly
• Comfort with a high degree of autonomy and shown ability in handling priorities from multiple internal and external partners
• Demonstrable ability to take an analytical, data driven approach and apply critical thinking skills in order to tackle problems
• Ability to optimally communicate and present concepts and methodologies to diverse audiences

Wed Love to See:

• Knowledge of SQL/Python querying language
• Experience in semantic structures or data modeling
• Experience using data visualization tools such as Tableau, QlikSense or Splunk

Does this sound like youApply! If we believe that youre a good match, well get in touch to let you know the next steps. Bloomberg is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, colour, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin,race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, orany other classification protected by applicable law. Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodationinclude but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, pleaseemail (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact + or .uk