Associate – Model Subject Matter Expert

Grade Level (for internal use): 11

*For US based candidates: candidates that are currently based outside of New York will also be considered for the position.

The Government’s Methodologies 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.

The Associate 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 Methodologies.

• 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.
• Join a strong collegial, collaborative environment.

• Develop and maintain nimble, user-friendly quantitative models and solutions that will be used by credit analysts globally in credit rating analyses and research publications.
• Collaborate with senior members of Methodologies and Ratings Technology to ensure that our models and tools are reliable, operational, performant, and meet business requirements.
• Create applications and dashboards that utilize models, tools, and data for use across the organization.
• Synthesize and analyze large datasets to derive analytic value and insights for credit rating analyses and research publications.
• Focus on identifying areas for new, creative solutions and continuous improvement.
• Provide insight to the team in solving complex, non-routine problems and tasks.
• Maintain close interaction with analysts, model developers, and subject matter experts to ensure that data analyses and tools effectively inform analytical decisions.
• Work collaboratively with senior model and criteria SMEs within the group.
• Work closely with the Model and Criteria Validation group to ensure a high quality product.
• Write clear, concise specifications and development documentation to ensure consistent and thorough documentation in accordance with policy and procedures.
• Support criteria projects and be an active member of projects including developing tools, testing of new concepts, data gathering, writing, and preparation of materials.

• Ideally hold a bachelor's or post-graduate degree in Finance, Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics or a related field.
• Proficiency in R and R Shiny programming languages and excel/VBA with knowledge of Java and React a plus.
• Knowledge of capital markets, financial instruments with an emphasis on credit risk modeling is preferred.
• Basic understanding of database modeling/design and applications. Knowledge of SQL and experience in databases such as Oracle, Sybase, or Access would be beneficial.
• The ability to quickly and concisely communicate quantitative concepts to the analytical community, who have a wide range of technical skillsets.
• Willingness to adapt and continue to develop skills to align to a fast-evolving practice.
• An S&P Global employee at this level would typically hold 5+ years’ relevant work experience.

S&P Global states that the anticipated base salary range for this position is $110,000 to $123,000. Base salary ranges may vary by geographic location. This role is eligible to receive additional S&P Global benefits.

For more information on the benefits we provide to our employees, visit https://www.spgbenefitessentials.com/newhires.

At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.

S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

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.