Data Associate – Ratings Data Management, London

Grade Level (for internal use): 09 The Team: The Ratings Data Center of Excellence at S&P Global Ratings is a global team that drives data quality, automation, and process improvement across the organization, combining business expertise with technical innovation to deliver scalable solutions that support S&P Global Ratings' data transformation goals. Team members collaborate with stakeholders across functions and geographies, applying data management and automation capabilities to solve complex business challenges and create measurable operational value. Responsibilities and Impact: Interpret and analyze business use cases and feature requests, translating them into technical designs and development tasks using research and informed recommendations. Develop scripts and tests to validate data, handle change requests, and deliver automation solutions that meet agreed timelines and quality standards. Investigate and resolve data discrepancies, exceptions, and client queries within defined service levels, prioritizing tasks based on importance and urgency. Collaborate with stakeholders across functions to optimize workflows, improve data quality, and contribute to broader automation and operational efficiency initiatives. Support onboarding activities, process improvement, and automation projects that reduce manual effort and deliver measurable business value. Contribute to global operational coverage and participate in technical discussions and team initiatives that support the organization's broader data transformation strategy.

Basic Required Qualifications: Intermediate SQL knowledge, with demonstrated experience using it to query, validate, and analyze data. Demonstrated ability to develop data validation scripts and technical solutions, with experience handling change requests and ensuring outputs meet defined quality standards. Experience working with cloud-based infrastructure, preferably Databricks. Demonstrated ability to investigate and resolve data discrepancies and exceptions within defined timelines and service levels. Effective written and verbal communication skills, with the ability to collaborate with technical and non-technical stakeholders across functions. Demonstrated ability to manage multiple concurrent tasks, prioritize effectively, and deliver against agreed timelines. Additional Preferred Qualifications: Proficiency in Python or a complementary programming language that supports SQL-based data work. Experience with data visualization tools such as Power BI or Tableau. Familiarity with information systems, business processes, and data-driven decision-making in a financial services environment.

Bachelor's degree or equivalent preferred. A master's degree is highly valued. We welcome candidates from traditional finance disciplines as well as diverse academic backgrounds that support innovative and critical thinking.

We require all candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global Ratings office. This must be completed before we can proceed to an offer. Employees are required to work from the office a minimum of two days per week. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI).  S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity