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# Analyst - Telecommunications

- **Company:** S&P Global
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Spreadsheets, Data Governance, Automation of Marketing
- **Published:** November 9, 2026
- **Apply:** https://www.adzuna.es/details/5957854311

## About the Role

Experience: - Education: Bachelor's degree or equivalent preferred. A master's degree or professional certification (such as CFA) is highly valued. We welcome candidates from traditional finance disciplines as well as diverse academic backgrounds that support innovative and critical thinking. - Direct experience analyzing corporate entities in Telecommunications, Media, Technology, or Entertainment sectors. Additional Information: - Employees are required to work from the office a minimum of two days per week. - Candidates who reach the final stage of the interview process will be asked to attend at least one in-person interview at their nearest S&P Global Ratings office before an offer can be extended. **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

## Description

**About the Role:** **Grade Level (for internal use):** 11 **The Team:** S&P Global Ratings' Corporates practice assesses the creditworthiness of companies across industries by analyzing business risk, strategy, competitive position, and financial performance to support transparent and comparable decision-making. The European Telecommunications, Media, Technology and Entertainment team comprises analysts based across London, Paris, Frankfurt, Stockholm, and Madrid, covering a portfolio of investment-grade and speculative-grade corporate entities. This breadth offers analysts a distinctive opportunity to build deep credit expertise across some of Europe's most dynamic and fast-evolving sectors. **Responsibilities and Impact:** Team Contribution & Capability Building - Guide and coach junior analysts and research staff, building capability in credit analysis, data discipline, and analytical tooling to reinforce consistent, high-quality outputs. - Strengthen team productivity by creating
reusable analytical assets and contributing to automation initiatives that free capacity for human analysis and judgment. - Identify and propose workflow improvements that remove unnecessary manual steps without compromising governance or analytical standards. Core Analytical & Delivery - Lead end-to-end credit analysis and surveillance for assigned corporate credits, ensuring timely, high-quality delivery with clear accountability for outputs and priorities. - Synthesize portfolio performance, market signals, and peer context into decision-ready insights that support rating committee discussions and risk assessments. - Embed and validate generative AI and large language model tools within analytical workflows, maintaining human accountability for all conclusions and material risk judgments. Stakeholder & Market Engagement - Engage with issuer management teams and external stakeholders alongside senior team members, translating complex analysis into clear, evidence-based narratives
for clients and rating committees. - Prepare well-structured committee materials and act as a spokesperson for S&P Global Ratings when required. Risk Management and Operating - Apply methodology, confidentiality, and data governance requirements consistently, escalating issues early with clear recommendations to protect analytical integrity. - Contribute to the responsible design and testing of automation and AI-enabled workflows, maintaining clear boundaries between what can be automated and what requires human judgment. **What We're Looking For:** Required Skills and Experience: - An S&P Global employee at this level would typically have 3 to 5 years of relevant work experience in credit analysis. - Demonstrated ability to deliver high-quality work across multiple credits with limited oversight, and to coach junior colleagues through shared analytical standards and tools. - Strong collaboration and relationship management skills, with the ability to influence through credibility
and constructive engagement. - Demonstrated credit, financial, and risk analysis skills, with the ability to link fundamental business and sector drivers to forward-looking risk views. - Practical experience embedding generative AI or large language model tools into professional workflows to improve productivity and analytical output. - Proficiency in analytical and spreadsheet tools, with a willingness to develop skills in data and automation platforms. - Effective written and verbal communication skills, with the ability to synthesize complex analytical content into clear, concise narratives for senior stakeholders and rating committees. - High standards for analytical quality, traceability, and governance, with sound judgment on the responsible use of AI tools in a controlled environment. - Demonstrated ability to contribute to automation workflow design and testing, with clear judgment on which analytical decisions require human oversight. Preferred or Helpful