At a Glance
- Tasks: Scale and govern AI-driven data workflows in Equity Corporate Actions.
- Company: Bloomberg, a leader in data-driven technology solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a fast-paced environment.
- Why this job: Join a dynamic team shaping the future of financial data management.
- Qualifications: Degree in relevant field and 4+ years in data analysis or IT.
The predicted salary is between 60000 - 80000 € per year.
Location: London
Business Area: Data
Ref #: 10051589
Description & Requirements
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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
Our Team:
Our Equity Corporate Actions Data team underpins Bloomberg’s Terminal and enterprise services by sourcing, validating, and publishing accurate equity reference and corporate‑actions information, from distributions, to mergers & acquisitions, stock splits, spin‑offs, and beyond, to hundreds of thousands of users worldwide.
What’s the role?
We are looking for a Senior Data Management Professional to help scale and govern AI-driven and automated data workflows across Equity Corporate Actions and Reference Data products. This role focuses on ensuring that automation systems — including rule-based pipelines, intelligent document processing, and LLM-driven workflows — produce accurate, measurable, and operationally resilient outputs at scale.
You will help define how we evaluate, monitor, and continuously improve automated data processing systems by designing quality measurement frameworks, production monitoring capabilities, and human-in-the-loop governance processes. The role sits at the intersection of financial domain expertise, data quality management, and AI-enabled operations.
As our automation footprint expands, this role will play a critical part in ensuring our datasets remain trusted, explainable, and fit-for-purpose for Terminal, Enterprise, and AI-driven downstream products.
We’ll trust you to:
- Define and implement quality assurance frameworks for AI-driven and automated data processing systems
- Design operational metrics to measure automation accuracy, timeliness, completeness and downstream data quality impact
- Monitor production AI workflows for degradation, drift, inconsistencies, and systemic quality risks
- Develop methodologies for human‑in‑the‑loop review and escalation processes
- Partner with Engineering teams to improve automation reliability and observability
- Conduct root‑cause analysis across automated workflows and identify structural remediation opportunities
- Evaluate tradeoffs between automation coverage, operational scalability, and data quality outcomes
- Help establish standards for prompt management, evaluation testing, and deployment governance for LLM‑enabled workflows
- Build dashboards and analytical tooling to monitor automation effectiveness and quality trends over time
You’ll need to have:
- A BA/BS degree or higher in Computer Science, Mathematics, Finance or relevant data technology field, or equivalent professional work experience
- 4+ years’ experience in data analysis, financial market research, and/or information technology
- Sound understanding of data quality as a domain of data management (DAMA CDMP, DCAM certification a plus)
- Experience monitoring or evaluating automated, AI‑assisted, or machine learning‑driven workflows in production environments
- Ability to investigate ambiguous or probabilistic system behavior and translate findings into operational improvements
- Analytical and data profiling skills using Python and SQL
- Years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
We’d love to see:
- Familiarity with LLMs, intelligent document processing, NLP systems, or workflow automation platforms
- Experience with Bloomberg’s products or other financial data providers’ products
- Good understanding of the equity market, corporate actions or reference data
We look forward to learning more about your experience.
Senior Data Management Professional - Equity Corporate Actions Data employer: Bloomberg
Bloomberg is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets data excellence. Our culture fosters collaboration and continuous learning, providing employees with ample opportunities for professional growth and development in cutting-edge technologies. With a commitment to quality and integrity, we empower our team to drive impactful solutions that shape the future of financial data management.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Management Professional - Equity Corporate Actions Data
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at Bloomberg or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by diving deep into the role's specifics. Brush up on your knowledge of equity corporate actions and data management. The more you know, the more confident you'll feel when discussing how you can contribute.
✨Tip Number 3
Showcase your skills with real examples! When you're in an interview, share stories about how you've tackled data quality issues or improved automated workflows. This will help us see your problem-solving skills in action.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of our team at Bloomberg.
We think you need these skills to ace Senior Data Management Professional - Equity Corporate Actions Data
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Management Professional role. Highlight your experience in data analysis, financial market research, and any relevant tech skills like Python and SQL.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data management and how your background makes you a great fit for our team. Be specific about your experience with AI-driven workflows and data quality management.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles. We love candidates who can demonstrate their analytical skills and ability to improve processes, especially in automated environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Bloomberg
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data management, especially in the context of equity corporate actions. Be prepared to discuss how you’ve handled data quality issues in the past and how you would approach ensuring accuracy in automated workflows.
✨Showcase Your Analytical Skills
Since this role requires strong analytical abilities, come ready with examples of how you've used Python and SQL to solve complex data problems. Think about specific projects where your analysis led to measurable improvements in data quality or operational efficiency.
✨Understand Automation and AI
Familiarise yourself with AI-driven workflows and automation systems. Be ready to discuss any experience you have with LLMs or intelligent document processing, and how you can contribute to improving these systems at Bloomberg.
✨Prepare Questions About the Role
Interviews are a two-way street! Prepare insightful questions about the team’s current challenges with data management and automation. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
