Bloomberg runs on data and data drives the market. At Bloomberg, 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're 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. Our teams operate at the forefront of Fixed Income innovation, building and maintaining foundational data products that power credit and risk workflows across institutional finance. Our teams globally oversee a suite of high-impact datasets and tools spanning Loans, Private Credit, and Capital Structure (CAST) analytics-each critical to the evolving needs of our clients. In Capital Structure, our products are core to credit risk analysis, enabling clients to assess the complete financial structure of a corporate group-including maturity distribution, payment waterfall, guarantees, and recourse mapping. Especially for high-yield and leveraged segments, accurate capital structure data is increasingly indispensable for integrating financials, valuations, and credit assessments. The growing focus on this area is amplified by our recent expansion into Loans indices, which further elevate data expectations. Our mission is to enable clients to navigate the complex and opaque world of credit markets with clarity, precision, and confidence. We are continuously investing in our data tools and infrastructure, sourcing strategies, and domain expertise to stay ahead of market needs. As a Senior Technical Account Manager for CAST, you will lead the sourcing, integration, and optimization of external data critical to Bloomberg's corporate and capital structure analytics, for both public and private companies. You will identify high-quality data providers, manage technical onboarding, and partner with Product, Engineering, and Relationship Management teams to ensure seamless integration and alignment with Bloomberg's strategic data goals.
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Job Type
Full-time
Career Level
Mid Level
Industry
Web Search Portals, Libraries, Archives, and Other Information Services
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees