Senior Data Management Professional

Senior Data Management Professional - Data Quality - Equity Corporate Actions

Location

London

Business Area

Data

Ref #

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint a complete picture for our clients—around the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology—quickly and accurately. We apply product thinking, domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for-purpose in a fast-changing landscape.

Our Equity Corporate Actions Data team underpins Bloomberg's Terminal and enterprise services by sourcing, validating, and publishing accurate equity reference and corporate-actions information — from distributions, to mergers & acquisitions, stock splits, spin-offs, and beyond — to hundreds of thousands of users worldwide.

What's the Role?

We are looking for a highly motivated individual with a passion for finance, data, 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 focusing on quality, you will 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. In this role you will also be responsible for maintaining trusted relationships with clients, and internal partners such as product managers and engineers. You will join a diverse team of dedicated individuals and experts where your interests and passion will have a significant impact on the team's success.

We'll expect you to:

• Become a true domain expert in Equity Corporate Actions by demonstrating your understanding of the datasets and market conditions, and by acting as a trusted adviser to your network internally and externally
• Develop, refine, and implement the strategy for how to achieve best-in-class data quality for the Equity Corporate Actions data product
• Develop and align data quality measurement and optimization strategies with client needs, ensuring our efforts directly support customer objectives
• Employ quantitative methods to advise and enhance on decision making capability in business planning, process improvement, and solution management
• Keep up with the industry trends, standards, and innovation in the data quality domain
• Work in a fast paced, multifaceted & collaborative setting

You'll need to have:

• We use years of experience as a guide but will consider all candidates who can demonstrate the

required skills.

• A BA/BS degree or higher in Computer Science, Mathematics, Finance or relevant data technology field, or equivalent professional work experience
• 4+ years' experience in data analysis, financial market research, and/or information technology
• Sound understanding of data quality as a domain of data management
• Proven ability to conduct data profiling and data analysis (using Python is a plus) and visualize results
• Ability to optimally communicate and present concepts and methodologies to diverse audiences
• Strong agile/scrum project management experience while working with tight deadlines
• Ability to work independently as well as in a diverse team environment

We'd love to see:

• Experience with Bloomberg's products or other financial data providers' products
• Good understanding of the equity market and associated corporate actions
• Good understanding of our user's workflows and data needs to ensure our offering is fit-for-purpose
• Project or work experience using one or more programming language such as Python, SQL and R

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

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