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For Companies At a Glance
- Tasks: Lead data modelling for corporate bonds, enhancing client experience and data discoverability.
- Company: Bloomberg is a global leader in financial data and technology, driving innovation in the industry.
- Benefits: Enjoy competitive pay, collaborative culture, and opportunities for professional growth.
- Why this job: Join a dynamic team solving real-world problems with data and technology while making an impact.
- Qualifications: 4+ years in data modelling; proficiency in Python or SQL; strong communication skills.
- Other info: Open to candidates who can demonstrate relevant skills, regardless of formal experience.
The predicted salary is between 43200 - 72000 £ per year.
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.
Our Team
The Bloomberg Corporate Bonds Data team is responsible for the acquisition & publication of bonds being brought to market. Our responsibilities span across developing automated pipelines for ingestion & publication of data, enhancing the breadth & depth of our dataset, and developing a self-describing data product to enhance discoverability. We are structured around solving client problems by closely partnering with Product, Sales & Engineering.
The Role
Within the Corporates Bonds' Data Modelling team, you would be responsible for leading the implementation of the data product vision for our corporate bonds discovery layer.
We'll trust you to:
- Audit and improve the existing fixed income data model to deliver a consistent, cross-platform client experience.
- Collaborate with Product, Engineering, Ontologists, and Fixed Income SMEs to co-design an interconnected data model supporting analysis across multiple datasets.
- Translate business and product requirements into clear, maintainable data modelling artifacts.
- Define and document metadata standards, entity relationships, and model schemas to support semantic alignment and discovery.
- Create tools and processes to monitor and maintain metadata inventories.
- Communicate data modelling requirements to stakeholders, and drive alignment across metadata/modelling functions to ensure practices are well understood & followed.
- Perform data profiling and root cause analysis to guide objective, data-driven modelling decisions.
- Promote FAIR data principles across the modelling lifecycle.
You’ll need to have:
- 4+ years of experience working with data modelling, metadata design, or semantic data structures.
- Proven ability to work with messy, heterogeneous data sources and convert them into harmonized, queryable formats.
- Strong communication skills, with the ability to influence and drive alignment across technical and business stakeholders.
- Experience working in cross-functional teams involving engineering, product, and subject matter experts.
- Technical fluency, including comfort discussing modelling tradeoffs with engineers and reviewing data cataloging tools or APIs.
- Demonstrated ability to think systemically about data interoperability, governance, and reusability.
- Proficiency in Python and/or SQL.
We'd love to see:
- Exposure to fixed income or financial datasets (e.g. corporate bonds) - or a willingness to learn the domain.
- Experience with data cataloging, metadata governance, or data discovery platforms.
- Familiarity with semantic web or knowledge graph concepts (e.g., RDF, SKOS, OWL) and experience integrating these into usable data models.
- Understanding of data governance frameworks or certifications (e.g., DAMA CDMP, DCAM).
- Exposure to the Bloomberg Terminal, Bloomberg APIs or Enterprise Data products.
- A degree (Bachelor's, Master's, or PhD) in a STEM discipline, Economics, Finance, or a related field.
Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Senior Data Management Professional - Data Modeling - Corporate Bonds | London, UK employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Management Professional - Data Modeling - Corporate Bonds | London, UK
✨Tip Number 1
Familiarise yourself with Bloomberg's data products and services, especially those related to corporate bonds. Understanding their offerings will help you speak confidently about how your skills can contribute to their goals during interviews.
✨Tip Number 2
Network with current or former employees of Bloomberg, particularly those in the Data Management or Corporate Bonds teams. They can provide valuable insights into the company culture and expectations for the role, which can be beneficial in your discussions.
✨Tip Number 3
Brush up on your technical skills, particularly in Python and SQL, as these are crucial for the role. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to handle data modelling and metadata design.
✨Tip Number 4
Prepare to discuss your experience with cross-functional teams and how you've successfully collaborated with various stakeholders. Highlight specific examples where your communication skills helped align technical and business objectives, as this is key for the role.
We think you need these skills to ace Senior Data Management Professional - Data Modeling - Corporate Bonds | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data modelling, metadata design, and working with financial datasets. Use specific examples that demonstrate your ability to handle messy data and collaborate with cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your familiarity with Python and SQL, and how your skills align with the responsibilities outlined in the job description. Be sure to convey your willingness to learn about corporate bonds if you lack direct experience.
Showcase Communication Skills: Since strong communication skills are essential for this role, consider including examples in your application that demonstrate your ability to influence stakeholders and drive alignment across technical and business teams.
Highlight Relevant Education: If you have a degree in a STEM discipline, Economics, Finance, or a related field, make sure to mention it prominently in your application. This will help establish your foundational knowledge relevant to the role.
How to prepare for a job interview at Bloomberg
✨Understand the Data Landscape
Familiarise yourself with the specific data models and structures used in corporate bonds. Be prepared to discuss how you would approach improving existing data models and what methodologies you would employ.
✨Showcase Your Technical Skills
Highlight your proficiency in Python and SQL during the interview. Be ready to provide examples of how you've used these skills to solve complex data problems or improve data processes in previous roles.
✨Communicate Effectively
Demonstrate your strong communication skills by clearly articulating your thoughts on data modelling and governance. Practice explaining technical concepts in a way that non-technical stakeholders can understand, as collaboration is key in this role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss past experiences where you had to audit data models or work with messy data sources, and how you approached those challenges to achieve successful outcomes.
