Senior Technical Account Manager, Funds Data

Senior Technical Account Manager, Funds Data - Hong Kong 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. What’s the role? Technical Account Managers deliver exceptional service and support to our content partners and customers to ensure Bloomberg is the platform of choice for the distribution of their content. As part of the team, you will be responsible for ensuring delivery of quality data for the Mutual Funds and ETP product. We are focused on finding opportunities to improve our coverage, completeness, timeliness, and accuracy for the facets of funds’ data. Our Technical Account Management team is responsible for the maintenance and caliber of the facets of the funds dataset including pricing and dividends, reference data, corporate actions, documents, and regulatory data. As a Technical Account Manager, your responsibility will be to develop subject‑matter expertise in your market, build and strengthen Bloomberg’s relationships with fund houses, custodians, administrators, exchanges, and third‑party content partners to set up sustainable data pipelines, educate them to use best data dissemination practices, stay on top of the latest industry trends, and have a complete profile for all the funds available on Bloomberg. We’ll trust you to: Manage our highest priority accounts with critical content partners Provide outstanding support to our content partners so that they trust us with their valuable content Learn from content partner interaction to be able to anticipate content partner needs Establish, maintain and improve relationships with Content Partners to develop and implement technologies/workflows and facilitate efficient onboarding of new data sets Play a key role in implementing our data rights and entitlements while understanding downstream impacts Prioritize and manage projects with multiple partners to improve efficiency and return on investment Partner with internal Content Relationship Managers to understand themes/challenges partners are raising during their relationship with Bloomberg and work to build long‑term solutions Take ownership of any opportunities to improve our data products, acquire new content or enhance the customer experience Proactively manage campaigns to stay engaged with content partners and maintain the quality and reliability of contributed content. Support colleagues with campaigns to ensure a high standard is reached across the team Balance the best of technical and product knowledge to implement solutions for content partners Write detailed, accurate and complete specifications/requirements You’ll need to have: A bachelor's degree or higher in relevant data technology or financial field, or equivalent professional work experience Minimum of 5 years of relevant experience Excellent written and verbal communication skills Proven experience of relationship management Demonstrate interest or proficiency in technical skills (e.g., query language, data manipulation) to build and optimize data workflows Effective project management skills and ability to prioritize tasks accordingly Ability to isolate issues and resolve problems logically while identifying long‑term solutions to limit such issues arising again Ability to adapt within a fast‑paced and dynamic environment, and desire to work on multidisciplinary teams Drive for continuous improvement to further develop our products We’d love to see: Master’s degree or certification such as a CFA charter holder or CAIA Experience in customer service or client relationship management Experience working with international business groups and clients Knowledge in information technology and statistical analysis or computer programming for example Excel, SQL, and/or Python #J-18808-Ljbffr