Senior Data Management Professional - Data Quality - Sustainable Fixed Income Data

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the entire 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.

The Sustainable Fixed Income (SFI) team provides our clients with fast and accurate market-moving data so they can stay on top of their game: we are responsible for managing and enhancing SFI-related content for approximately 50,000 Green, Social, Sustainable & Sustainability Linked instruments across the Corporate, Sovereign, Municipal and Syndicated Loan markets including security specific attributes, regulatory or market-recognized principles and alignments, relevant analytics, and proprietary sustainable debt assessments for use in the Bloomberg Terminal and Enterprise products.

We are dedicated to building a world class sustainable debt product while constantly looking to improve and expand our existing offering through a deep understanding of the markets we operate in and our clients' current and future needs.

The Sustainable Fixed Income Data team is looking for a highly motivated individual with a passion for finance, data, quality and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.

• Develop, refine, and complete the strategy for how to achieve best-in-class data quality for the Sustainable Fixed Income data product
• Perform data profiling and apply statistical methods to support data quality measurements
• Collaborate with domain experts in Data, as well as colleagues in Product, Enterprise and Engineering, on implementation strategies to improve data quality
• Lead projects globally to improve data quality across all datasets under Sustainable Fixed Income
• Provide insights and recommendations to enhance decision making capability in business planning, process improvement, and solution management
• Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
• Keep up with the industry trends, standards, and innovation in the data quality domain
• Work in a fast-paced, multifaceted, and collaborative setting

• A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience
• 4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
• Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
• Understanding of ETL processes and broader data workflow engineering concepts
• Sound understanding of data quality as a domain of data management (DAMA CDMP, DCAM certification a plus)
• Demonstrable ability to conduct data profiling and data analysis (using Python is a plus) and visualize results with tools such as Qlik Sense or Tableau
• Strong analytical abilities with passion for data and evidence-based decision-making
• Superb communication and project management skills
• Understanding of basic equity markets concepts and their application to financial data
• Solid ability to combine technical skills with business insight

• Good understanding of Fixed Income markets and Sustainable Debt's place in it
• Agile/Scrum Project Management experience
• Experience using data analysis and visualization tools such as Tableau or QlikSense

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!

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