Senior Data Management Professional - Data Quality Engineer - Alternative Investment Funds

Senior Data Management Professional - Data Quality Engineer - Alternative Investment Funds Location London Business Area Data Ref # 10046673

Description & Requirements

Bloomberg runs on data, and the Bloomberg Data team is responsible for supplying it. The Bloomberg Data department is responsible for sourcing, processing, and analyzing the data that is the backbone of our iconic Bloomberg Terminal. We apply problem-solving skills to identify creative workflow efficiencies, and we implement technology solutions to enhance our data, systems, products and processes while providing platinum customer support to our clients.

Our Team Whether a fund investor, manager or advisor, Bloomberg has the data, solutions and industry network to help our clients take their fund and company analysis to the next level. The Alternative Investments data team is made up of market specialists and technologists with a passion for private markets, from fund launch to liquidation, seed round to IPO and all the data in between.

What’s the role? The Alternative Investment Funds Automation team is 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, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.

We’ll trust you to:

• Develop systematic strategies to analyse current processes, identify data quality gaps, and scale best practices
• Lead the execution of data quality initiatives, best practices, and projects across global teams
• Partner with Engineering and Product teams to embed data quality strategies into product and engineering roadmaps
• Foster a product culture where data quality insights are discoverable, actionable, and transparent
• Apply domain expertise to guide product and engineering decisions, ensuring high-quality outputs
• Use technology and technical skills to drive systematic data quality assurance
• Apply advanced data analysis skills to identify trends, patterns, and anomalies, informing data quality approaches
• Stay current with internal best practices, industry standards, and innovations in data quality
• Act as a hands-on owner in quality projects and product coordination, collaborating with Technical Specialists, Engineers, and Product Managers as needed

You’ll need to have:

• Bachelor’s degree in Statistics, Data Analytics, Data Science, or another STEM-related field
• Minimum of 4 years of experience* in data management concepts such as data quality, random sampling, and data modeling
• Proven experience analyzing financial datasets or applying financial market concepts
• Hands-on experience with data profiling and analysis using tools such as Python, R, or SQL
• Strong ability to communicate results clearly and concisely through data visualization tools
• Demonstrated ability to apply logical reasoning and critical thinking to solve complex problems

*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*

We’d love to see:

• Experience in data science, technical consulting or the financial industry
• Master's or PhD in a relevant field
• Certification such as a CFA charter holder or CAIA
• Familiarity with Agile or Scrum project management methodologies
• Experience using data analysis and visualization tools such as Tableau or QlikSense

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!