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Statistician jobs in Singapore

Senior Data Management Professional - Data Product Owner - Data AI

Senior Data Management Professional - Data Product Owner - Data AI
London, United Kingdom
London
GBP 70,000 - 100,000
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Senior Data Product Owner

Senior Data Product Owner
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GBP 80,000 - 120,000

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Junior Market Data Analyst - Crude Oil
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Junior Market Data Analyst – Crude Oil

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Senior Data Management Professional - Data Product Owner - Data AI

London, United Kingdom
London
GBP 70,000 - 100,000
Job description
Senior Data Management Professional - Data Product Owner - Data AI

Location
London

Business Area
Data

Ref #
10044399

Description & Requirements

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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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