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- Tasks: Lead data management and product strategies for Bloomberg Assistant in fixed income.
- Company: Bloomberg is a global leader in financial data and analytics, driving innovation through technology.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration across teams.
- Why this job: Join a cutting-edge team integrating AI into finance, enhancing data quality and usability.
- Qualifications: 4+ years in financial services, strong understanding of fixed income, and project management skills required.
- Other info: Ideal for those passionate about data, AI, and making an impact in the financial sector.
The predicted salary is between 48000 - 84000 £ per year.
Location: London
Business Area: Data
Ref #: 10044399
Bloomberg runs on data. Our products are fueled by powerful information, combining data and context to provide a comprehensive view for our clients worldwide. In Data, we deliver data, news, and analytics through innovative technology, ensuring accuracy and speed. We focus on optimizing workflows and implementing technological solutions to enhance our systems and products while supporting our clients.
Our Team: The Bloomberg Data AI group integrates innovative AI technologies into Bloomberg's Data organization, leveraging deep financial domain expertise to develop AI-powered products. We evaluate and annotate data, aligning AI innovations with Bloomberg's strategic goals to optimize data workflows and improve data quality, intelligence, and usability. Our efforts contribute to delivering intelligent data solutions that enhance Bloomberg's offerings and competitiveness.
The Role: As a Data Product Owner, you will provide expertise in fixed income data and annotation program management, contributing to the development of Bloomberg Assistant (ASKB). You will collaborate with product and engineering teams to develop strategies for evaluation and annotation processes, ensuring the datasets meet client needs, align with product goals, and adhere to high standards of quality, transparency, and usability.
Responsibilities include:
- Defining evaluation strategies for Bloomberg Assistant in the fixed income domain, considering market nuances and user expectations.
- Managing the vision and roadmap for collecting evaluation datasets suitable for credit analyst workflows.
- Enhancing data robustness, annotation accuracy, and overall quality across datasets used for model evaluation and improvement.
- Using data analytics to identify trends and gaps, informing annotation methodologies to boost model performance and user trust.
- Addressing complex annotation challenges with effective solutions while maintaining data governance and integrity.
- Staying informed about industry trends in generative AI, evaluation, data annotation, and fixed income data management.
- Collaborating across teams to develop scalable evaluation data strategies.
Required Skills and Experience:
- At least 4 years of recent experience in the financial services industry, focusing on Fixed Income.
- Strong understanding of credit analyst workflows and data needs.
- Experience in data management concepts, such as improving data accuracy, completeness, or timeliness.
- Successful project management skills and task prioritization.
- Comfort discussing technical concepts and evaluating design trade-offs with Engineering and Product teams.
- Customer-focused approach with excellent communication skills.
- Logical thinking and critical problem-solving abilities.
Preferred Skills:
- Knowledge of Python and SQL.
- DAMA CDMP or DCAM certifications.
- Interest in generative AI frameworks.
- Experience with semantic structures or data modeling.
- Proficiency with data visualization tools like Tableau, QlikSense, or Splunk.
Bloomberg is committed to unleashing the power of information and technology to organize, understand, and improve our world. Join us to advance your career and explore numerous opportunities.
Senior Data Management Professional - Data Product Owner - Data AI employer: London, United Kingdom
Contact Detail:
London, United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Management Professional - Data Product Owner - Data AI
✨Tip Number 1
Familiarise yourself with Bloomberg's products and services, especially those related to fixed income data. Understanding how Bloomberg Assistant (ASKB) operates and its role in enhancing client workflows will give you a solid foundation to discuss during interviews.
✨Tip Number 2
Network with professionals in the financial services industry, particularly those who have experience in data management and AI technologies. Engaging with current employees on platforms like LinkedIn can provide insights into the company culture and expectations for the role.
✨Tip Number 3
Stay updated on the latest trends in generative AI and data annotation. Being able to discuss recent advancements and how they can be applied to improve data workflows will demonstrate your proactive approach and passion for the field.
✨Tip Number 4
Prepare to showcase your project management skills by discussing specific examples where you've successfully prioritised tasks and managed complex data projects. Highlighting your ability to collaborate with engineering and product teams will also be crucial.
We think you need these skills to ace Senior Data Management Professional - Data Product Owner - Data AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in the financial services industry, particularly focusing on fixed income data management. Emphasise your project management skills and any specific achievements that align with the responsibilities of a Data Product Owner.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of Bloomberg's mission and how your background in data management and AI can contribute to their goals. Mention specific experiences that demonstrate your ability to enhance data quality and usability.
Highlight Technical Skills: If you have experience with Python, SQL, or data visualisation tools like Tableau, make sure to include these in your application. Highlighting your technical skills will show that you are well-equipped to handle the data analytics aspects of the role.
Showcase Problem-Solving Abilities: In your application, provide examples of how you've addressed complex data challenges in previous roles. This could include improving data accuracy or developing innovative solutions for data annotation, which is crucial for the position at Bloomberg.
How to prepare for a job interview at London, United Kingdom
✨Understand the Role
Make sure you have a solid grasp of what a Data Product Owner does, especially in the context of fixed income data. Familiarise yourself with Bloomberg's products and how they leverage data and AI technologies.
✨Showcase Your Experience
Prepare to discuss your past experiences in the financial services industry, particularly focusing on fixed income. Highlight specific projects where you've improved data accuracy or managed complex annotation challenges.
✨Demonstrate Technical Knowledge
Be ready to talk about technical concepts related to data management, such as Python and SQL. If you have experience with data visualisation tools like Tableau or QlikSense, mention that too!
✨Ask Insightful Questions
Prepare thoughtful questions about Bloomberg's approach to data governance and AI integration. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
