Analyst

About the Role The Housing team is a dynamic, collaborative group that covers a portfolio of approximately 600 ratings associated with housing finance agencies, public housing authorities, and community development financial institutions. We analyze capital fund financings and federally‑enhanced housing issues across the country, combining independent analytical work with strong team collaboration. The Team Credit Ratings is an integral part of the Global Ratings Services team, comprising a diverse group of 1,400 analysts spread across key financial hubs worldwide. We are dedicated to delivering high‑quality insights and exceptional client service across all industry sectors. The Public Finance practice delivers credit opinions on public‑sector issuers (including states/provinces, local governments, public agencies, not‑for‑profits, and infrastructure‑related municipal issuers). Analysts translate local economic and demographic trends, revenue stability, governance, and long‑term liabilities into transparent views that help communities finance essential services and long‑duration investments. Responsibilities Team Contribution & Capability Building Provide day‑to‑day guidance/coaching to Research Assistants and Rating Analysts, building capability in credit, data discipline, and tooling and reinforcing values‑led behaviors. Drive consistency/scalability by codifying standard work and promoting disciplined adoption to strengthen trusted, repeatable insights. Strengthen AI‑enabled productivity by creating reusable assets and proposing lightweight automations that free capacity for human analysis and relationship work. Foster continuous improvement by proposing enhancements that remove manual steps without compromising governance or judgement. Partner with senior team members and Data/Engineering to identify and scale AI/automation use cases with governance‑by‑design, controls, and adoption support. Core Analytical & Delivery Lead end‑to‑end execution for assigned credits, ensuring high‑quality analysis and timely delivery across priorities with clear accountability. Own surveillance/updates for assigned portfolio, synthesizing performance, market signals, and peer context into decision‑useful insights and clear implications for risk. Support LLM tools/automation embedded to accelerate workflows, followed by structured validation and refinement using analytical judgement to maintain trusted conclusions. Operate alongside AI agents in recurring workflows. Prepare/review inputs, reconcile metrics, document assumptions/changes to ensure adherence to methodologies/standard operating procedures. Prepare/review key outputs ensuring clarity and alignment to methodology/sector frameworks and evidentiary standards. Support maintenance/review of models to ensure robustness and repeatability and clear linkage to risk views. Stakeholder & Market Engagement Engage with external parties alongside senior team members. Craft client and executive‑ready stories that translate complex data, analysis, and research into a clear narrative. Advise on issues within clear parameters, integrating and communicating complex information to convey S&P’s analytical expertise and drive engagement with market participants. Build trusted stakeholder relationships through emotionally intelligent, collaborative, and adaptable delivery. Risk Management and Operating Ensure adherence to methodology/confidentiality/data governance; raise issues early with options/recommendations to protect integrity and trust. Embed responsible, governed AI use: approved tools/data only; protect confidential info. Drive controlled automation/agentic workflows by contributing to design requirements/controls, supporting testing/rollout, and training others. Support decisions concerning guardrails for automation: defining what can be automated versus must remain human‑led (especially material risk calls and committee conclusions). Compensation and Benefits US candidates: anticipated base salary range is $90,000 USD to $127,000 USD. Final base salary will be based on individual’s location, experience, skills, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. Benefits include: Health care coverage designed for the mind and body. Generous time off and flexible downtime. Access to continuous learning resources. Competitive pay, retirement planning, continuing education program with company‑matched student loan contribution, and financial wellness programs. Family friendly perks and some best‑in‑class benefits for partners and children. Additional perks such as retail discounts and referral incentive awards. What We’re Looking For Experience in affordable housing finance, either in loan underwriting, portfolio management, real estate development, or capital raising. Familiarity with affordable housing policies, financing structures, and funding programs, including low‑income housing tax credits, housing choice vouchers (Section 8), and mortgage revenue bond programs. Solid foundation in financial statement analysis. Ownership/execution maturity across multiple credits; delivers high quality with limited oversight and models values‑led behavior. Strong collaboration/relationship management; influences through credibility and constructive challenge. Coaching capability that improves team consistency through shared standards and tools. Continuous improvement mindset. AI fluency with judgement. Strong credit/financial/risk analysis linking drivers to forward‑looking views and risk appetite. Practical experience embedding AI/LLMs/agents into workflows to improve productivity and insight. Strong analytical tool capability; willingness to learn data/automation tools to facilitate AI‑enabled workflows. Strong synthesis into concise narratives for senior stakeholders/committees with transparent evidence. Effective written and verbal communicator, able to present research and analysis in a clear, structured way that supports informed decision making. High standards for quality, traceability, and governance; operates effectively in controlled environments. Sound judgement on responsible AI use. Ability to contribute to scalable automation/agent workflows. Additional Information An S&P Global employee at this level would typically have three to five years’ of relevant work experience. Education: Bachelor’s degree or equivalent required. 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 are welcome. 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. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: View email address on click.appcast.io and your request will be forwarded to the appropriate person. US Candidates Only Know Your Rights: Workplace discrimination is illegal ( Job Details Job ID: 330092 Posted On: 2026-07-12 Location: Chicago, Illinois, United States #J-18808-Ljbffr