Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data quality initiatives and manage AI model training datasets.
- Company: Bloomberg is a global leader in financial data and analytics.
- Benefits: Enjoy a full-time role with opportunities for growth and innovation.
- Why this job: Join a dynamic team shaping the future of AI in finance.
- Qualifications: Bachelor's degree in STEM and 4+ years in data management required.
- Other info: Ideal for problem solvers passionate about data and AI.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Management Professional – Data Quality – Data AI
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 innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes – all while providing customer support to our clients.
Location
London
Business Area
Data
Ref #
10044397
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 innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes – all while providing customer support to our clients.
Our Team
Data AI contributes to the building of Bloomberg’s AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Data’s role in providing robust domain expertise and influential data artifacts to Bloomberg’s products. This way, our clients will continue to have high quality data and access to new types of datasets.
What\’s the Role?
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what\’s possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
We’ll Trust You To
- Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
- Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
- Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
- Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
- Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
- Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
- Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
- Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
- Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
You’ll Need To Have
- Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
- A bachelor’s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
- A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
- Experience using data visualization tools such as Tableau or Qlik Sense.
- Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
- Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
- Extensive experience in communicating results in a clear, concise manner using data visualization tools.
- Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
We’d Love To See
- Keen interest and familiarity with generative AI frameworks.
- Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
- Keen interest and familiarity with generative AI frameworks.
- Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
- Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we\’re a good match. We\’ll get in touch to let you know next steps!
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
Referrals increase your chances of interviewing at Bloomberg by 2x
London, England, United Kingdom 6 days ago
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 1 month ago
Liquidity Data & Analytics Business Analyst
London, England, United Kingdom 2 days ago
Sutton, England, United Kingdom 3 days ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 day ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 2 weeks ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Senior Data Management Professional - Data Quality - Data AI employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Management Professional - Data Quality - Data AI
✨Tip Number 1
Familiarise yourself with Bloomberg's products and services, especially those related to data management and AI. Understanding their offerings will help you articulate 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 AI team. Engaging in conversations can provide valuable insights into the company culture and expectations for the Senior Data Management Professional role.
✨Tip Number 3
Stay updated on the latest trends in data quality and AI technologies. Being knowledgeable about industry advancements will not only enhance your discussions but also demonstrate your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss specific examples from your past experience that showcase your problem-solving skills and ability to manage data quality. Tailoring your stories to align with Bloomberg's focus on innovative solutions will make a strong impression.
We think you need these skills to ace Senior Data Management Professional - Data Quality - Data AI
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Management Professional position. Familiarise yourself with key terms like data quality, annotation program management, and AI technologies.
Tailor Your CV: Customise your CV to highlight relevant experience in data management, financial datasets, and any familiarity with AI frameworks. Use specific examples that demonstrate your problem-solving skills and ability to communicate results effectively.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data management and AI. Mention how your background aligns with Bloomberg's goals and how you can contribute to their innovative projects. Be sure to include any relevant certifications or tools you are proficient in.
Highlight Relevant Projects: In your application, include details about past projects where you applied data analysis skills, particularly in financial contexts. Discuss any experience with data visualisation tools and how you approached complex data challenges.
How to prepare for a job interview at Bloomberg
✨Showcase Your Data Expertise
Make sure to highlight your experience with data management concepts, especially in data quality and analysis. Be prepared to discuss specific projects where you've successfully applied these skills, particularly in financial datasets.
✨Demonstrate Problem-Solving Skills
Since the role involves resolving complex annotation challenges, come equipped with examples of how you've tackled difficult problems in past projects. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Familiarise Yourself with AI Trends
Stay updated on the latest trends in generative AI and data annotation. Being able to discuss recent advancements or methodologies will show your genuine interest and understanding of the field, which is crucial for this role.
✨Prepare for Technical Questions
Expect technical questions related to data profiling, analysis tools like Python or SQL, and data visualisation software. Brush up on these topics and be ready to demonstrate your knowledge through practical examples or scenarios.
