Rating Analyst – Structured Finance, Colorado or Toronto

S&P Global • Toronto, ON

1d • Hybrid

About The Position

The Structured Finance and Alternative Investment Funds team at S&P Global Ratings evaluates the credit risk of securitized products and fund structures, analyzing underlying asset performance, structural protections, cash-flow mechanics, and stress scenarios. The team delivers credit opinions that help issuers and investors compare complex instruments, providing market-relevant perspectives on performance trends and issuance conditions across a growing and evolving sector.

This role involves building credit judgment through coaching and standard methodologies, contributing to AI-enabled team productivity by sharing reusable prompts and templates, and supporting the onboarding and development of junior colleagues. The analyst will also contribute to workflow improvement initiatives and innovation by challenging existing processes and applying fresh perspectives to complex data and problem-solving.

Core responsibilities include owning delivery for assigned credits, maintaining clear status updates, strong prioritization, and early escalation of risks. Ongoing surveillance for assigned credits, synthesizing developments into insights, and building analytical materials using standard templates with automation are also key. The role requires using approved generative AI and large language model tools for research, comparison, and drafting, as well as collecting, reconciling, and validating data, identifying anomalies and gaps, and documenting assumptions.

Stakeholder engagement involves supporting rating committees by preparing well-evidenced materials and responding to follow-up questions with transparency. Translating data, analysis, and research into clear, decision-ready narratives for clients and senior stakeholders is essential. Risk management includes applying confidentiality, documentation, and governance requirements consistently, ensuring human accountability for all final analysis and committee content, and supporting the testing of automation and AI tools.

Requirements

• Direct experience analyzing securitized products, fund structures, or related structured finance instruments.
• Collaborative working style with the ability to manage priorities and communicate clearly in a team-oriented environment.
• Learning agility and a continuous improvement mindset, with comfort adopting new tools while maintaining quality and accountability.
• Demonstrated ability to support junior colleagues through guidance, quality checks, and knowledge sharing, including responsible AI practices.
• Strong research and data analysis skills, including financial statement competence and a solid understanding of credit and risk concepts.
• Practical experience using generative AI or large language model tools to support analysis, research, or drafting in a professional context.
• Strong spreadsheet skills and a willingness to develop proficiency in data and automation tools, including the ability to supervise and validate automated outputs.
• Effective written and verbal communication skills, with the ability to present research and analysis in a clear, structured format that supports informed decision-making.
• High standards for accuracy, traceability, and documentation.
• Demonstrated commitment to responsible technology use, following approved boundaries to protect confidentiality and analytical integrity.
• 2 to 3 years of relevant experience in structured finance, credit analysis, or a related financial field.
• Bachelor's degree or equivalent required.
• 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.

Nice To Haves

• Experience supporting financial modeling preferred.
• A master's degree or professional certification (such as CFA) is highly valued.
• Candidates from traditional finance disciplines as well as diverse academic backgrounds that support innovative and critical thinking.

Responsibilities

• Build credit judgment through coaching, feedback, and standard methodologies, reinforcing consistent ways of working to strengthen analytical quality and trust.
• Contribute to AI-enabled team productivity by sharing reusable prompts, templates, checklists, and automation that support judgment, reduce rework, and accelerate delivery.
• Support the onboarding and development of junior colleagues through guidance on analytical routines, quality standards, and the effective use of approved tools.
• Contribute to workflow improvement initiatives and support innovation by challenging existing processes and applying fresh perspectives to complex data and problem-solving.
• Own delivery for assigned credits, maintaining clear status updates, strong prioritization, and early escalation of risks to ensure timely, decision-ready outputs.
• Maintain ongoing surveillance for assigned credits, synthesizing developments into insights that support analytical discussions and rating committee materials.
• Build and maintain analytical materials using standard templates, applying automation to reduce rework while retaining human ownership of conclusions.
• Use approved generative AI and large language model tools to support research, comparison, and drafting tasks.
• Collect, reconcile, and validate data, identifying anomalies and gaps early; document assumptions and standardize routines to reduce operational risk.
• Support rating committees by preparing well-evidenced materials and responding to follow-up questions with clear transparency on sources and assumptions.
• Translate data, analysis, and research into clear, decision-ready narratives for clients and senior stakeholders, adapting technical content to suit the audience.
• Apply confidentiality, documentation, and governance requirements consistently, ensuring human accountability for all final analysis and committee content.
• Support the testing of automation and AI tools identified through process improvement initiatives.

Benefits

• Annual incentive plan
• Health care coverage designed for the mind and body.
• Generous time off helps keep you energized for your time on.
• Access to a wealth of resources to grow your career and learn valuable new skills.
• Competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Perks for partners and little ones, with some best-in class benefits for families.
• Retail discounts to referral incentive awards.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level