Bloomberg
Senior Data Management Professional - Data Quality - Securities
Bloomberg, New York, NY
Description & Requirements
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!
The Team:
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.
What's the role?
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.
That means:
We'll trust you to:
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.
Salary Range = 110000 - 170000 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation, [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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!
The Team:
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.
What's the role?
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.
That means:
- 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
We'll trust you to:
- 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
You'll need to have:
- 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 Corporate Actions, Fixed Income, Mortgages, FX, or Listed Derivatives asset classes
- Project Management experience developed in a matrixed partner environment and cross-regional business
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 Range = 110000 - 170000 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation, [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.