Associate Director - Structured Finance Ratings, Esoteric Assets

About the Role

Grade Level (for internal use): 12

Structured Finance Esoteric ABS

Credit Ratings is an integral part of the Global Ratings Services team, comprising a diverse group of 1,400 analysts across key financial hubs worldwide. We deliver high-quality insights and client service across all industry sectors.

The Esoteric ABS team assigns credit ratings to securities backed by non-traditional collateral such as corporate securitizations, data centres, triple-net leases, transportation assets, De-Fi, etc., 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 and provide market-relevant perspectives on performance trends, issuance conditions, and AI’s role in origination and securitization.

At S&P Global, our values — Discovery, Integrity, and Partnership — guide how we work, collaborate, and earn trust with customers and colleagues. We embrace AI as an enabler, governed by risk management, to enhance the intelligence of our people, relationships, and trusted insights. By using technology with human expertise, we help teams navigate complexity and deliver actionable, decision-ready intelligence without compromising quality, accountability, or integrity.

At S&P Global Ratings, you will contribute to independent credit opinions relied upon by the market, strengthened by innovation that accelerates analysis.

We are People Forward. When you join S&P Global, you’ll benefit from:

• Joining a diverse community where your growth and well-being come first—alongside 35,000+ colleagues worldwide.

• Bringing your best self to work in an inclusive, collaborative environment.

• Continuous learning, education, training, and career coaching to help you grow in a changing world.

• Access to People Resource Groups to foster awareness, engagement, and community.

Team Contribution & Capability Building

• Act as senior reference point coaching (Research Assistants, Rating Analysts, and Senior Analysts) on credit fundamentals, modelling discipline, data quality, and standard work including governance-enabled AI use.

• Coordinate work across credits; anticipate capacity/quality risks; influence outcomes through planning and constructive challenge in ambiguous situations.

• Embed continuous improvement into routines by updating playbooks/SOPs/prompt libraries and driving adoption.

• Partner with stakeholders to identify and shape high-impact use cases, supporting testing/adoption/rollout with governance, controls, and change management.

• Foster a critical-thinking mindset, challenging assumptions and the status quo to generate insights shaping market views and strategic decisions.

• Model enterprise behaviors:
  Discovery, Integrity, and Partnership, including human-centric leadership alongside AI-enabled change.

Core Analytical & Delivery

• Deliver end-to-end analytical execution across a defined portfolio with high quality, timeliness, and clarity to sustain customer trust.

• Lead surveillance and analytical updates, connecting performance, market developments, and issuer peers to forward-looking risk themes.

• Own the quality of key outputs, ensuring consistency and clarity of reasoning.

• Use approved GenAI/LLMs to accelerate research, comparisons, and drafting.

• Operate effectively alongside AI agents in recurring workflows.

• Support the execution of AI-driven projects.

• Validate inputs, reconcile metrics, and document assumptions/model changes.

Stakeholder & Market Engagement

• Synthesize data, analysis, and research into executive-ready, market-facing narratives that convey S&P’s analytical expertise.

• Build collaborative stakeholder trust through clear communication and engagement with market participants.

• Contribute to strategic initiatives and thought leadership by researching, drafting, and refining content with senior input.

Risk Management and Operating

• Ensure adherence to methodology, confidentiality, and data governance; escalate emerging risks early.

• Embed responsible AI use in workflow processes.

• Drive controlled automation and agentic workflows to remove…