S&P Global · 2 weeks ago
Senior Analyst, Governments Modeling
New York, NY
Full-time
Hybrid
Mid, Senior Level
$91K/yr - $122K/yr
3+ years expS&P Global is a leading provider of credit ratings and analytics, and they are seeking a Senior Analyst to enhance their Government’s Global Analytics and Methodologies team. This role focuses on developing and maintaining quantitative models and tools for credit rating analysis, enabling informed credit decisions across various public finance sectors.
AnalyticsBusiness IntelligenceCreditEnterprise SoftwareFinanceFinancial ServicesInformation ServicesMarket Research
No H1B
Responsibilities
Develop and maintain nimble, user‑friendly quantitative tools and solutions used globally for credit rating analysis and research
Partner with Global Analytics and Methodologies, Ratings Technology, and Validation teams to ensure models and tools are reliable, performant, and aligned with business requirements
Build applications and dashboards that integrate models, tools, and datasets to generate analytical insights for credit decisions
Identify opportunities for innovation and continuous improvement while solving complex, non‑routine analytical challenges
Collaborate closely with analysts, model developers, and subject matter experts to ensure data analyses effectively inform credit decisions across U.S. Public Finance, International Public Finance, and Sovereign portfolios
Support end‑to‑end criteria projects, including tool development, testing new concepts, data gathering, writing, and preparing governance‑compliant documentation
Qualification
Required
Bachelor's degree in Mathematics, Statistics, Economics, Finance, Computer Science, or a related quantitative field
Knowledge of capital markets and financial instruments, with an emphasis on credit risk modeling preferred
An S&P Global employee at this level would typically have 3+ years of extensive experience in quantitative analysis, financial modeling, or data analytics, preferably within credit risk, ratings, or financial services
Proficiency in Python, R, SQL, or similar analytical tools for data manipulation and model development
Basic understanding of database modeling/design and applications; experience with SQL and databases such as Oracle, Sybase, or Access is beneficial
Strong analytical and problem‑solving skills with the ability to work with large, complex datasets and derive meaningful insights
Demonstrated ability to work collaboratively across teams and build relationships outside the immediate function
Willingness to adapt and continuously develop skills in a fast‑evolving analytical environment
All employees are required to work from the office a minimum of 2 days per week
We require all candidates who reach the final stage of our interview process to attend at least one in‑person interview, ordinarily at their nearest S&P Global Ratings office. This must be completed before we can proceed to an offer
Preferred
Advanced degree (Master's/PhD) in a quantitative field or professional certifications in data science, analytics, or financial modeling
Experience in credit risk modeling, sovereign or public finance analysis, or rating agency methodologies
Knowledge of regulatory frameworks and governance requirements related to model validation and documentation
Benefits
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
Company
S&P Global
S&P Global is a market intelligence company that provides financial information and data analytics services.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$1.75B2025-12-01Post Ipo Debt· $1B
2023-09-07Post Ipo Debt· $750M
2016-04-28IPO
Leadership Team
Martina Cheung
President and CEO
Rick Goldberg
Division Chief Financial Officer
Recent News
2026-01-23
2026-01-22
2026-01-17
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