Senior Data Management Professional - Data Quality - Securities

Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. We’re responsible for delivering this data, news and analytics through innovative technology - quickly and accurately!

Our dedicated team focuses on technical leadership, data management best practices and mentorship across the Securities group covering Fixed Income, Sanctions, Regulation, Mortgages, Foreign Exchange (FX), Listed Derivatives and Corporate Actions data products.

We provide Securities teams with expertise and guidance in the areas of data quality, data engineering, data modeling and AI, with the ultimate goal of achieving technical excellence of our people & products in order to deliver easy to use, aligned, consistent and interconnected datasets that meet our clients’ needs.

As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.

We are looking for a candidate to help build out effective data management solutions and promote practices to define, measure and manage data quality of our datasets.

• Transforming how we manage the quality of our datasets, by applying industry best practices 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
• Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
• Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
• Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group

• Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion 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 Securities teams and their 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

• 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

• DAMA CDMP or DCAM certifications
• Familiarity with Corporate Actions, Fixed Income, Mortgages, FX, or Listed Derivatives asset classes
• Project Management experience developed in a matrixed partner environment and cross-regional business

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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