We’ll trust you to: 

• Perform quality control to ensure data accuracy by comparing Bloomberg data to source documentation Analyze internal processes to find opportunities for improvement, as well as devise and implement innovative solutions
• Implement business rules for programmatic data validation by codifying market conventions and/or data relationships
• Design and manage workflow configurations for critical functions such as acquisition, work-list management, and quality control
• Contribute to continuous improvement by generating ideas to improve our data products and/or associated processes and building prototypes to validate and illustrate requirements
• Lead ad hoc projects to optimize processes and/or improve the quality of the data set
• Use statistics and data visualization skills to report on results of on-going operations and projects, as required
• Build subject matter expertise and technical skills to generate premium content
• Partner with a wide variety of team members from Engineering to Sales on product development
• Provide in-depth customer support for users of Bloomberg products such as the Professional Service, News, Enterprise Solutions, and Bloomberg Law by resolving inquiries in a timely manner

You’ll need to have:

• Legal authorization to work full-time in the United States (U.S. citizenship or permanent residency), and will not require visa sponsorship now or in the future
• A bachelor's degree, preferably with combined studies Information Systems and Finance, or related business and technology fields
• Strong passion for data, technology and finance
• Demonstrated project or work experience using one more programming language such as Python or SQL
• Excellent written and verbal communication skills
• Ability to recognize opportunities for process improvement, as well as devise and implement innovative solutions
• Strong attention to detail and high degree of demonstrated decision-making and problem-solving skills
• Ability to work under pressure and in a frequently changing environment

We’d love to see:

• Prior work experience in ESG, information technology, finance, data analysis or research
• Established presence in virtual development communities such as GitHub, Stack Overflow and HackerRank
• Experience using data visualization tools such as Tableau or QlikSense
• ESG-related education such as CFA ESG examination, FSA SASB examination