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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.

Our Team:

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.

What’s the role?

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.

We’ll trust you to:

• 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

You’ll need to have:

• 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

We’d love to see:

• 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

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!

Salary: 110000,170000,USD,Annual