What are the responsibilities and job description for the Senior Data Management Professional - Data Quality - Sustainable Fixed Income Data position at Bloomberg?
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 :
We'd love to see :
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!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg provides reasonable adjustment / accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment / accommodation to apply for a job or to perform your job. Examples of reasonable adjustment / accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email AMER[redacted] (Americas), EMEA[redacted] (Europe, the Middle East and Africa), or APAC[redacted] (Asia-Pacific), based on the region you are submitting an application for.
