Structured Finance Rating Analyst | AI-Driven Insights

S&P Global

Texas

Hybrid

USD 62,000 - 89,000

Full time

14 days+

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Benefits offered by this job

Health care
Flexible time off
Learning programs
Retirement planning
Family perks

Job summary

S&P Global Ratings is seeking a credit analytics professional to own delivery on securitized credits within the Structured Finance and Alternative Investment Funds team. You will drive data-driven analysis, leverage AI tools for efficiency, and mentor junior colleagues while maintaining rigorous standards and confidentiality.

Office presence is required a minimum of two days per week in a hybrid environment.

Qualifications

  • Direct experience analyzing securitized products, fund structures, or related structured finance instruments.

Responsibilities

  • Build credit judgment through coaching and standard methodologies.
  • Support AI-enabled productivity with reusable prompts, templates, checklists, and automation.
  • Help onboard and develop junior colleagues with guidance on routines, quality standards, and approved tools.
  • Own delivery for assigned credits with clear status updates and risk escalation.
  • Maintain surveillance for credits and translate developments into actionable insights.
  • Develop analytical materials using templates and automation while preserving human conclusions.
  • Support rating committees with well-evidenced materials and transparent sources.

Skills

Structured finance analysis
Credit risk assessment
Data interpretation

Education

Bachelor's degree or equivalent
Master's degree or CFA preferred

Tools

Generative AI tools
LLMs

Job description

S&P Global Ratings is seeking a credit analytics professional to own delivery on securitized credits within the Structured Finance and Alternative Investment Funds team. You will drive data-driven analysis, leverage AI tools for efficiency, and mentor junior colleagues while maintaining rigorous standards and confidentiality.

Office presence is required a minimum of two days per week in a hybrid environment.

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