Senior Data Management Professional - Data Quality - Sustainable Finance Data

Senior Data Management Professional - Data Quality - Sustainable Finance Data

Location
London

Business Area
Data

Ref #
10047396

Description & Requirements

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.

Environmental, Social, and Governance (ESG) data is increasingly crucial for our clients - providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, ESG data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products.

As a team, we are responsible for handling and enhancing ESG-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and form relationships throughout the company, all while helping our clients integrate ESG risk and opportunity analysis into their workflows.

What's the role?

The Sustainable Finance Data team is seeking a motivated and thorough professional to join the Quality and Operations team. This role is ideal for someone passionate about sustainable finance, ESG data, quality, and technology, who is eager to strengthen our data products through the design and implementation of effective data quality strategies and assurance practices.

As a Senior Data Management Professional, you will help define and implement data strategies focused on achieving business outcomes, enhancing data value for clients, and improving operational efficiency. You will use your problem-solving skills to develop, refine, and automate quality control processes, ensuring the integrity, reliability, and scalability of our data.

You will also evaluate and communicate the impact of your initiatives using data quality metrics and business intelligence tools. This position offers the opportunity to lead global quality initiatives, collaborate with multi-functional teams, and mentor colleagues in advancing data quality, governance, and stewardship across the organization.

We'll trust you to:

• Define and implement a comprehensive strategy to deliver best-in-class ESG data quality, with a particular focus on ensuring the accuracy and integrity of as-reported disclosures.
• Perform data profiling and statistical analysis to measure, monitor, and continuously improve data quality across key ESG datasets and products.
• Collaborate closely with domain experts in Data, as well as partners in Product, Enterprise, and Engineering, to design and implement scalable, data-driven quality solutions.
• Develop and align data quality measurement strategies with client needs, ensuring our efforts directly support customer and business objectives.
• Create informative reports and deliver actionable recommendations to enhance data quality and operational effectiveness.
• Provide analytical insights that strengthen decision-making in business planning, process optimization, and solution development.
• Educate and empower colleagues by promoting awareness and embracing data quality principles, fostering a culture of excellence and stewardship across the organization.
• Stay ahead of the curve by tracking emerging trends, standards, and innovations in data quality and ESG data practices, ensuring our strategies remain forward-looking and competitive.
• Thrive in a dynamic, fast-paced, and collaborative environment, contributing to a culture of continuous improvement and shared success.

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.

• A BA/BS degree or higher in Computer Science, Mathematics, Finance, Economics, Environmental Science, or a related field-or equivalent professional qualifications
• 4+ years of experience in data quality management, quality assurance, or data governance within the finance or technology industry
• Demonstrated experience developing data quality metrics, reporting frameworks, and governance processes as part of larger data architecture initiatives
• Strong knowledge of data management principles, including data modeling, ETL processes, and workflow design
• Proficiency in data analysis and profiling using tools such as Python, R, SQL, and BI platforms, with the ability to identify data quality issues and generate actionable insights
• Foundational understanding of statistics and the ability to interpret data to inform business decisions and craft compelling narratives
• Excellent written and verbal communication skills, strong attention to detail, and effective problem-solving abilities
• Proven ability to manage multiple global projects in parallel and collaborate effectively with cross-functional stakeholders
• A strong ability to combine technical skills with business insight to improve data quality and operational outcomes
• Demonstrated continuous career growth within an organization

We'd love to see:

• Strong knowledge and understanding of the Sustainable Finance market and sustainability related topics, with preference for experience working with a range of disclosure frameworks and standards, including but not limited to TCFD, ISSB, GRI
• Experience profiling datasets and coming up with necessary requirements
• Good understanding of data modeling concepts
• Experience manipulating and wrangling large datasets
• Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing

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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