Senior Data Management Professional - Company Financial Market Data

Details

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.

Team overview

The Company Financials team provides clients with fast and accurate market-moving data: broker estimates, financial filings, and other datasets useful to understand financial performance in the markets. The team combines financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights. The role focuses on crafting best-in-class financial analysis and modeling products and expanding existing offerings through deep market and sector knowledge.

Responsibilities

• Develop data-driven strategies that balance technical, product, financial and market knowledge; collaborate with engineering and product teams to craft solutions.
• Own reliable and efficient workflows around exchanges and 3rd-party data providers, including document acquisition and structured/unstructured content processing, using programming, machine learning and/or human-in-the-loop approaches.
• Implement and manage high-volume, low-latency ETL pipelines and data lifecycle processes.
• Analyze workflows to identify critical observability checkpoints; design and build scalable solutions for monitoring, reporting and alerting across markets.
• Analyze market-specific workstreams to identify opportunities for improvement or consolidation using Bloomberg's proprietary or open-source stacks.
• Communicate and collaborate across Product, Engineering, Bloomberg Intelligence and other teams.
• Develop interconnected data models enabling cross-dataset analysis and perform statistical analysis.

Requirements

• Minimum 3+ years of experience in the financial/fintech services industry (exchanges, market data providers, financial technology institutions) and/or in data engineering, data quality, data modeling, or data architecture.
• Demonstrated experience working with Python in development or production environments.
• Experience implementing high-volume, low-latency ETL pipelines and managing data lifecycle.
• Familiarity with various databases, schemas and modeling, and with structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV).
• Strong project management abilities and customer-focused prioritization.
• Excellent collaboration, written and verbal communication skills; stakeholder management across departments and regions.
• Demonstrated continuous career growth within an organization.

Preferred (would love to see)

• Advanced degree (Master's) in Finance or a STEM subject and/or CFA designation (or working towards it).
• Experience with Bloomberg Company Financials products, specific markets/exchanges, and Bloomberg Terminal fluency.
• Familiarity with advanced statistical methods and use cases for Machine Learning, Artificial Intelligence and Natural Language Processing.
• Experience designing optimal database structures.

Salary & Benefits

• Salary Range: 110,000 - 190,000 USD Annual + Benefits + Bonus.
• Benefits may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability, 401(k) with match, life insurance, and various wellness programs. (The Company does not provide benefits directly to contingent workers/contractors and interns.)

Location

• Princeton (United States)

How to apply

Apply through the Bloomberg careers site.