Senior Data Management Professional - Company Financial Market Data

Details

Bloomberg's products are fueled by powerful information. The Data organization delivers data, news, and analytics through innovative technology, applying problem-solving skills to improve workflows and implementing technology solutions that enhance systems, products, and processes.

The Company Financials team provides clients with market-moving data, including broker estimates, financial filings, and other datasets used to understand financial performance. The team combines financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights.

The Company Financials Markets team is seeking a Senior Data Management Professional to develop data-driven strategies and workflows involving exchanges and third-party data providers. The role combines subject matter expertise, technical skills, programming, machine learning, and human-in-the-loop approaches to build effective data workflows and Company Financials products. The position involves close collaboration with Product Managers, Engineering teams, Company Financials industry teams, Bloomberg Intelligence, and other cross-functional partners.

Responsibilities

• Develop data-driven strategies that balance technical, product, financial, and market knowledge, working with Engineering and Product teams to craft solutions.
• Own reliable and efficient workflows around exchanges and third-party data providers, including document acquisition and structured/unstructured content processing.
• Use programming, machine learning, and/or human-in-the-loop approaches to improve data workflows.
• Analyze workflows to identify observability checkpoints and ensure delivery of fit-for-purpose data across markets.
• Design and build efficient, maintainable, and scalable solutions for monitoring, reporting, and alerting.
• Analyze market-specific workstreams to identify opportunities for improvement and consolidation using Bloomberg's proprietary or open-source technology stacks.
• Collaborate with Engineering, Product, Bloomberg Intelligence, and complementary teams across departments and regions.
• Develop interconnected data models that enable analysis across datasets and perform statistical analysis.

Requirements

• At least 4 years of experience in financial or fintech services, including exchanges, market data providers, or financial technology institutions, and/or in data engineering or related fields such as data quality, data modeling, or data architecture.
• Demonstrated experience using Python in a development or production environment.
• Experience implementing high-volume, low-latency ETL pipelines and managing the data lifecycle.
• Familiarity with databases, schemas, data modeling, and structured and unstructured formats, including PDF, HTML, XBRL, JSON, and CSV.
• Strong project management skills, with the ability to prioritize and adapt to tasks while maintaining a customer-focused mindset.
• Strong collaboration skills and excellent written and verbal communication skills.
• Demonstrated continuous career growth within an organization.

Preferred Qualifications

• Advanced or master's degree in Finance or a STEM subject and/or a CFA designation or progress toward one.
• Experience with Bloomberg Company Financials products, specific markets or exchanges, Bloomberg Terminal, and/or Bloomberg Data Workflows.
• Familiarity with advanced statistical methods and use cases involving machine learning, artificial intelligence, and natural language processing.
• Experience designing optimal database structures.

Benefits

Benefits and total rewards may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, and vision coverage, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.