What is the role?

Data Operations group is a global team responsible for a diverse set of operational and business tasks requiring critical collaboration with DMS Product, Engineering, SRE, Client Services groups and teams across Bloomberg’s Enterprise and Global Data departments.

The key responsibilities of the role include the management of internal and client facing operational workflows, supervision and maintenance of intricate data-supply chains, administration of data quality assurance processes and client support. Additionally, the Operations team works on the maintenance and enhancements of existing processes, in areas such as our vendor operations, change management, user acceptance testing, client on-boarding, service implementation, business planning and continuity.
The role is based in the New York City office, operational schedule is Monday to Friday, 11:00 am – 8:00 pm EST.

We’ll trust you to:

• Oversee the receipt of incoming financial data feeds from third-party data providers including clients’ proprietary systems and ensure seamless and timely delivery of outgoing feeds
• Monitor the receipt of vendor partner notifications and announcements, perform impact analysis, and action as needed to ensure no service disruptions
• Investigate and resolve data quality breaches on an array of mastered data such as Security Master, Price Master, Index Master, Legal Entity Master and Corporate Actions
• Examine raw data quality issues, validate data for consistency and accuracy, identify resolutions, and update systems as required
• Provide support for end users of DMS services and ensure high-quality support is provided to our clients according to defined Service Level Agreements (SLAs)
• Collaborate with Operations partners, to improve operational performance and quality across all deliverables
• Partake in user acceptance testing of routine software releases
• Participate and take ownership of ad-hoc projects and assignments 

 
You’ll need to have:


• Bachelor’s Degree in Finance/Economics/Business or other related discipline
• Experience in data governance, data quality assurance, operations management, customer/stakeholder support or other related role
• Basic understanding of financial data, instruments and concepts
• Proficiency in the Microsoft Office suite, particularly Excel and PowerPoint
• Analytical aptitude with the ability to investigate, interpret and communicate findings and recommendations.
• Time management, and autonomous decision-making skills 
• A driven, proactive, positive, and transparent attitude, with a desire to learn and grow
 
We’d love to see:

• Experience with data products such as Security Master, Ratings, Pricing, Index, Legal Entity, Corporate Actions, ESG etc.
• Experience with data providers such as Bloomberg, Refinitiv, Sustainalytics, ICE, Morningstar, MSCI etc.
• Experience with data extraction, manipulation and/or visualization tools (eg. VBA, QlikSense)