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Senior Analyst, Governments Modeling - Ratings

Job in London, Laurel County, Kentucky, 40741, USA
Listing for: S&P Global
Full Time position
Listed on 2026-01-12
Job specializations:
  • Finance & Banking
    Data Scientist
  • IT/Tech
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 122000 USD Yearly USD 100000.00 122000.00 YEAR
Job Description & How to Apply Below
Position: Senior Analyst, Governments Modeling - S&P Global Ratings

About the Role

Grade Level (for internal use): 11

The Role: Senior Analyst, Quantitative Modeling – S&P Global

The Team: The Government’s Global Analytics and Methodologies (GAM) team is responsible for a portfolio of criteria and models spanning US Public Finance, Sovereigns and International Public Finance. The criteria and models developed and maintained help global analysts produce independent credit ratings covering US State and Local Government ratings, Sovereign ratings, International Public Finance and municipal sectors including Higher Education;
Healthcare;
Public Housing and Infrastructure. The team focuses on timely, insightful, and high-quality analysis and research. As a Model Subject Matter Expert (SME), you will be embedded within the Governments team and work closely with the Model and Criteria SMEs to develop, maintain, and deliver a growing portfolio of quantitative models and analysis to support high quality credit analysis. This role also involves contributing to cloud-based tooling and analytics infrastructure projects.

Responsibilities and Impact:

  • Develop and maintain nimble, user-friendly quantitative solutions and tools used by credit analysts globally for credit rating analyses and research publications

  • Partner with Global Analytics and Methodologies, Ratings Technology, and Validation teams to ensure models and tools are reliable, performant, operationally sound, and aligned with business requirements

  • Create applications and dashboards that utilize models, tools, and data for organizational use, synthesizing large datasets to derive analytical insights for credit decisions

  • Identify opportunities for innovation, creative solutions, and continuous improvement while providing expertise in solving complex, non-routine problems

  • Maintain collaboration with analysts, model developers, and subject matter experts to ensure data analyses inform analytical 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 material preparation with governance-compliant documentation

  • All employees are required to work from the office a minimum of 2 days per week

What We’re Looking For:

  • Leverage quantitative abilities to develop analytic solutions and models that enable credit analysts to perform high-quality analysis and research

  • Strong analytical and teamwork skills with a proactive learning mindset

  • Knowledge of a broad range of global sectors and market topics

  • Exposure to stakeholders across S&P Ratings

  • Collaborative culture and ability to work across teams

Basic

Required Qualifications:

  • Bachelor's degree in Mathematics, Statistics, Economics, Finance, Computer Science, or related quantitative field

  • Knowledge of capital markets and credit risk modeling preferred

  • 3-5 years of experience in quantitative analysis, financial modeling, or data analytics, preferably within credit risk, ratings, or financial services

  • Proficiency in programming languages such as Python, R, SQL, or similar tools

  • Basic understanding of database modeling/design; SQL knowledge and experience with Oracle, Sybase, or Access beneficial

  • Strong analytical and problem-solving skills with ability to work with large datasets

  • Willingness to adapt and continue to develop skills for a fast-evolving practice

  • Demonstrated ability to work collaboratively across teams

Additional

Preferred Qualifications:

  • Advanced degree (Master's/PhD) in 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 in financial services, particularly related to model validation and documentation

  • Experience with cloud-based analytics platforms (AWS, Azure, Google Cloud) and familiarity with version control systems like Git

Compensation/Benefits Information
:
This section is applicable to US candidates. The anticipated base salary range is USD CO – $91,000 - $111,000; NY - $100,000 - $122,000. Final base salary is based on…

Position Requirements
10+ Years work experience
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