About the Role:

Grade Level (for internal use):

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

The Team: 

The Government’s Global Analytics and Methodologies (GAM) team is responsible for a vast portfolio of criteria and models spanning US Public Finance, Sovereigns and International Public Finance.  The criteria and models that the group develops and maintains 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 is focused on producing timely, insightful, and innovative analysis and research of the highest quality that grows our relevance in the market. As a Model Subject Matter Expert (SME), you will be embedded within the Governments team and work closely with the Model and Criteria SMEs, who are responsible for developing, maintaining, and delivering a growing portfolio of cutting-edge quantitative models and analysis that enable analysts to continually produce high quality and transparent credit analysis.  This is an excellent opportunity to join S&P Global as we transform our infrastructure and deliver cloud-based tools to the analytical teams, while also developing your skills and furthering your career as we power the markets of the future.

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

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

• Maintain close collaboration with analysts, model developers, and subject matter experts to ensure data analyses effectively 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 clear, governance-compliant documentation

• 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, which is ordinarily at your nearest S&P Global Ratings office. This must be completed before we can proceed to an off

Impact:

The Senior Analyst will enhance our ability to produce high-impact, insightful credit analysis and research and grow our relevance in an evolving market by synthesizing, analyzing, and deriving value from datasets, developing and delivering innovative analytic solutions and models, and helping to build data analytics capabilities across Global Analytics and Methodologies.

What We're Looking For:

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

• Stimulating learning curve, which could lead to continued growth within the organization by demonstrating strong analysis, teamwork, and presentation skills;

• Gain analytic knowledge of a wide range of global sectors and market topics;

• Obtain exposure to stakeholders across S&P Ratings; and

• Join a strong collegial, collaborative environment

​Basic Required Qualifications:

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

• Knowledge of capital markets, financial instruments with an emphasis on credit risk modeling is 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 analytical tools for data manipulation and model development

• Basic understanding of database modeling/design and applications. Knowledge of SQL and experience in databases such as Oracle, Sybase, or Access would be beneficial

• Strong analytical and problem-solving skills with ability