Enterprise Data Content Specialist, Enterprise Services - Financial Solutions

Enterprise Data Content Specialist, Enterprise Services - Financial Solutions

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Bloomberg’s Enterprise Data Department develops data offerings that are considered best in class by the capital markets community. Across real‑time market data, reference data, historical pricing data, and unique analytics, we deliver the most comprehensive and highest quality content in the industry.

• The most comprehensive and highest quality content in the industry.
• Distribution that is flexible, reliable, fast, and easy to onboard.
• Easy‑to‑use data that is ready for analysis.

Location:

London | Business Area:
Sales and Client Service |  #:

Our Content Specialists serve as the primary point of contact for the data‑related needs of Bloomberg Enterprise Data (ED) customers. As a liaison between the customer, ED teams, and other Bloomberg colleagues, you will maintain ownership of all client data content during the pre‑sales and onboarding process. You should be an expert in assessing customer and application content needs, including feature sets, instrument universes, and fields based on current and intended uses, and match those against Bloomberg’s extensive data offerings.

• Deeply partner with client data and technical stakeholders to fully understand their data content needs and use cases.
• Ensure the client’s data requirements are available and work with the client on creative solutions if gaps exist.
• Understand the client’s data distribution requirements and areas for growth, working closely with sales and technical account managers.
• Develop a deep understanding of Bloomberg data delivery mechanisms in order to demonstrate the most suitable option that meets the client’s needs.
• Provide new client training on the Bloomberg data model and client‑facing tools.
• Manage application content migrations for all of Bloomberg’s Enterprise Products.
• Coordinate and interact with data origination teams and Product Managers to obtain clarification on field definition/behaviour and instrument availability.
• Ensure the shortest possible time to application go‑live while maintaining high standards of work practices.

• 5+ years experience working with financial market data within financial services or data‑intensive organisations.
• Familiarity with different security/instrument identifiers and their applicability across different asset classes.
• Good understanding of financial instruments across different asset classes: equities, fixed income, commodities, mortgages, and derivatives, and preferably a specialization in one asset class.
• Familiarity with functions at both buyside and sellside organisations, understanding the different market players and their data/application needs.
• High‑level proficiency in Microsoft Office Products (specifically Excel).
• Strong customer service, communication, and presentation skills, most importantly, a client‑facing role.
• Analytical, with great organisation and strong problem‑solving skills.

• Familiarity with the main OMS, PMS, TMS, and risk systems.
• Working proficiency with a programming language, ideally SQL.
• Up‑to‑date industry knowledge on data trends.
• Previous knowledge and understanding of enterprise data products is advantageous.