Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole 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 - all while providing platinum customer support to our clients.
Our Team:
Our New Issues Credit Data team is responsible for the timely and accurate publication of new bonds being brought to market. We are responsible for developing automated pipelines for ingestion and publication of new issue data, enhancing our primary markets dataset, and finding opportunities to expand our data product offering through client engagement. We work closely with internal consumers of our data including the News, Evaluated Pricing, and Index teams. We also heavily collaborate with our counterparts in Product, Sales & Engineering.
What's the role?
We are looking for a data management professional focusing on data quality to help build out effective data management solutions and promote practices to define, measure and manage data quality of our datasets. This includes applying industry standard methodologies to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clients' needs. You'll also focus on Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements, as well as providing guidance on how to implement processes to measure, monitor and report on our data quality to our internal partners in Product or Sales.
We'll Trust You To:
- Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and nurture organizational change around data quality as a domain of data management
- Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
- Closely collaborate with Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
- Perform data profiling and apply statistical methods to support data quality measurements
- Optimally and proactively connect with partners and senior management
- Keep up with the industry trends, standards, and innovation in the data quality domain
You'll Need to Have:
- Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
- 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
- Up-to-date knowledge of events taking place in the financial markets
- Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL-Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills We'd Love to See:
- DAMA CDMP or DCAM certifications
- Familiarity with Fixed Income asset classes, particularly corporate bonds and debt instruments.
- Project Management experience and familiarity with JIRA
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.
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