At a Glance
- Tasks: Scale and govern AI-driven data workflows in Equity Corporate Actions.
- Company: Bloomberg, a leader in data and analytics with a global impact.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Inclusive culture valuing diversity and offering career development.
- Why this job: Join a dynamic team to enhance data quality and automation in finance.
- Qualifications: Degree in relevant field and 4+ years in data analysis or IT.
The predicted salary is between 60000 - 80000 € per year.
Location: London
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
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net
Senior Data Management Professional - Equity Corporate Actions Data employer: Bloomberg L.P.
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 diversity and inclusion, we ensure that every team member feels valued and empowered to contribute to our mission of delivering trusted information to clients worldwide.
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 at Bloomberg. 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 Bloomberg's products and services. Knowing how they use data will help you stand out and show you're genuinely interested in the role.
✨Tip Number 3
Showcase your problem-solving skills! Be ready to discuss past experiences where you improved processes or tackled challenges, especially in data management or automation.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team.
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 data analysis, financial market research, and any relevant tech experience to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data management and how your background fits into our team. Share specific examples of your work with AI-driven workflows or data quality management to make it stand out.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python and SQL! We love seeing candidates who can demonstrate their analytical skills and experience with automated workflows, so be sure to include relevant projects or achievements.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Bloomberg L.P.
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data quality management and the specific technologies mentioned in the job description. Familiarise yourself with AI-driven workflows, LLMs, and how they apply to equity corporate actions. This will show that you're not just interested in the role but also understand the nuances of the industry.
✨Prepare for Technical Questions
Expect to be asked about your experience with Python and SQL, especially in relation to data analysis and profiling. Be ready to discuss specific projects where you've monitored or evaluated automated workflows. Having concrete examples will help demonstrate your expertise and problem-solving skills.
✨Showcase Your Analytical Skills
During the interview, highlight your ability to investigate ambiguous system behaviours and translate findings into operational improvements. Prepare to discuss methodologies you've developed for quality assurance and how you've partnered with engineering teams to enhance automation reliability.
✨Understand Bloomberg's Ecosystem
Familiarise yourself with Bloomberg’s products and how they relate to financial data. Understanding the equity market and corporate actions will give you an edge. You might even want to bring up recent trends or news related to Bloomberg to show your enthusiasm and knowledge about the company.
