Una candidatura completa en un minuto
Currículum y carta de presentación personalizados, listos para enviar.
S&P Global is seeking an Analyst in the Structured Finance and Alternate Investment Funds team in London to evaluate credit risk of securitized products and fund structures. You will analyze asset performance, cash-flow mechanics, and downside scenarios to deliver decision-useful insights for issuers and investors.
Responsibilities include end-to-end credit analysis, governance, and collaboration with senior analysts while applying AI tools to enhance productivity, with emphasis on accuracy and
Grade Level (for internal use): 11
The Structured Finance and Alternate Investment Funds practice evaluates the credit risk of securitized products and fund structures by analyzing underlying asset performance, structural protections, cash-flow mechanics, and downside stress scenarios. Analysts produce opinions that help issuers and investors compare complex instruments, bringing market-relevant perspectives on performance trends, issuance conditions, and AI's role in origination and securitization. The team is part of S&P Global Ratings' global analyst community of more than 1,400 analysts across key financial hubs worldwide, dedicated to delivering high-quality insights and exceptional client service across all industry sectors.
At S&P Global, our values - Discovery, Integrity, and Partnership - shape how we work, collaborate, and earn trust. We embrace AI as an enabler, guided by rigorous governance and risk management, to enhance the intelligence of our people, deep relationships, and trusted insights. By combining technology with human expertise, we help our teams navigate complexity and deliver actionable, decision-ready intelligence without compromising quality, accountability, or integrity.
Promote consistent, standards-led approaches to build trusted, repeatable insights, and propose continuous improvements that remove manual steps without compromising governance or analytical judgment.
Execute end-to-end credit analysis and surveillance for assigned structured finance credits, synthesizing portfolio performance, market signals, and peer context into decision-useful insights with clear implications for risk.
Prepare and review analytical inputs and key outputs, reconciling metrics and documenting assumptions to ensure adherence to methodology, sector frameworks, and evidentiary standards.
Engage with external stakeholders alongside senior team members, translating complex data and analysis into clear, client-ready narratives and communicating S&P Global's analytical expertise to drive engagement with market participants.
Ensure adherence to methodology, confidentiality, and data governance requirements, escalating issues early with recommendations; embed responsible AI use - approved tools and data only - to protect analytical integrity
An S&P Global employee at this level would typically have 1+ years of relevant experience in structured finance, credit analysis, or a related financial field.
Demonstrated credit, financial, and risk analysis skills, with the ability to link fundamental drivers to forward-looking views and risk appetite.
Effective written and verbal communication skills, with the ability to synthesize complex analysis into clear, structured narratives that support informed decision-making.
Willingness to learn and apply AI tools, large language models, and automation technologies to improve analytical productivity and insight.
High standards for analytical quality, traceability, and governance, with sound judgment on the responsible use of AI in a controlled environment.
English: Required - Fluent (able to conduct meetings, collaborate effectively, and communicate clearly in writing and verbally). German: Preferred - Professional working proficiency
Experience analyzing ABS, RMBS, or corporate securitizations, with an emerging ability to support and advise junior colleagues in operational processes.
Demonstrated ability to contribute to scalable automation and agentic workflows.
Strong collaboration and relationship management skills, with the ability to influence through credibility and support team consistency through shared standards and tools.
Education: Bachelor's degree or equivalent required. 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.
Guide and coach junior analysts and research staff in credit analysis, data discipline, and analytical tooling; create reusable assets and propose automation improvements that free capacity for higher-value human analysis.
Codify standard work and promote disciplined adoption to deliver consistent, repeatable insights, while fostering continuous improvement by removing manual steps without compromising governance.
Lead end-to-end credit analysis and surveillance for assigned structured finance credits, synthesizing portfolio performance, market signals, and peer context into decision-useful insights with clear implication