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 implement technology solutions that enhance systems, products, and processes.

The Company Financials team provides fast and accurate market-moving data, including broker estimates, financial filings, and other datasets used to understand financial performance in the markets. The team combines financial modeling, industry expertise, data management, and technical skills to curate critical metrics and generate insights.

Responsibilities

• Develop data-driven strategies that balance technical, product, financial, and market knowledge, collaborating with engineering and product departments to craft solutions.
• Own reliable and efficient workflows around exchanges and third-party data providers, including document acquisition and structured or unstructured content processing.
• Use programming, machine learning, and human-in-the-loop approaches to improve data workflows and automation pipelines.
• Analyze workflows to identify observability checkpoints that 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 or consolidation by leveraging Bloomberg's proprietary and open-source technology stacks.
• Collaborate with Engineering, Product, Bloomberg Intelligence, and other complementary teams across departments and regions.
• Develop interconnected data models that enable analysis across datasets and perform statistical analysis.

Requirements

• At least 3 years of experience in financial or fintech services, including exchanges, market data providers, or financial technology institutions; alternatively, experience in data engineering or related fields such as data quality, data modeling, or data architecture.
• Demonstrated experience working with 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 and the ability to prioritize and adapt to tasks with a customer-focused mindset.
• Strong collaboration, written communication, and verbal communication skills.
• Demonstrated continuous career growth within an organization.

Preferred Qualifications

• An 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, 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, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.