Job Information
Bloomberg Senior Data Management Professional - Data Quality - Sustainable Fixed Income Data in Skillman, New Jersey
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