About the Role:

Grade Level (for internal use):

Program Overview: 

When you join S&P Global Ratings, you join one of the world's leading providers of independent credit risk research and benchmarks. You are part of a team that produces high quality fundamental research based on established criteria. 

Our CREDit Graduate Program is a two-year training and development opportunity with our next intake joining us in September 2026. CREDit Program Analysts are hired for a specific practice; however, you are expected to transition between practices as dictated by business demands. In your first year CREDit analysts focus on acquiring skills and knowledge from your home practice. In your second year CREDit analysts gain exposure to other practices through a mix of classroom training and small projects or short-term secondments. All analysts combine practical work experience with the completion of a relevant qualification. For example, this could be the CFA. 

The Practice: 
Corporates and Infrastructure: All practices provide amazing opportunities and in Corporates and Infrastructure, the largest practice covering 1,200 issuers only in EMEA, they are multifold. You will see companies from different sectors, ranging from consumer products you use in your life to very niche producers of unique machinery – all spread among nine brilliant teams who collectively rate several trillion dollars of debt. You will analyze all aspects of the companies’ business to understand key business risks, as well as create cash flow projections to understand key financial risks. You will meet the management of the companies you follow and investors from international banks and asset management firms, who will be interested to see the results of YOUR analysis.

Key Responsibilities: 

• Conduct credit and recovery analysis for various services provided to corporate, institutional, and governmental clients, ensuring accuracy and attention to detail. 

• Evaluate the creditworthiness of organizations, focusing on their ability to meet financial obligations for traditional credit-based products and structured banking transactions.

• Provide timely and precise quarterly financial statistical and data analysis, demonstrating strong organizational skills. 

• Assist in reporting, research, and presentation development, leveraging analytical skills to support research and analysis. 

• Collaborate with the team on execution improvements and ad-hoc writing projects, fostering a collaborative and inclusive work environment. 

What We’re Looking For: 

Required Qualifications and Experience: 

• Completion of a minimum undergraduate degree by August 2026, with a strong academic record. 

• All majors welcome, including Accounting, Business Administration, Engineering, Economics, Finance, Math, Public Policy, Quantitative Analysis, Data and Statistics.

• Proficiency in Excel and other Microsoft Office products (Word, Outlook, PowerPoint), demonstrating the ability to handle data and presentations effectively. 

• Intellectual curiosity, with a keen interest in learning and applying new knowledge in credit analysis. 

• Ability to conduct independent analysis and research, showing initiative and resourcefulness. 

• Strong relationship-building skills, emphasizing collaboration and effective communication with team members. 

• Strong storytelling skills, able to take complex data insights and turn them into engaging narratives that resonate with and inform our stakeholders

• Demonstrated problem-solving, time-management, attention to detail, and organizational abilities.

• A proactive mindset and adaptability, essential for thriving in a dynamic environment influenced by advancements in artificial intelligence and technology. 

• Utilize AI technologies to analyze large datasets and derive actionable insights, integrating them into existing analytical frameworks.

• 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 offer.

Additional Preferred Qualifications and Experience:

• Experience with programming languages such as Python, C++, R, VBA, and/or MATLAB, showcasing technical proficiency.

• Familiarity with AI technologies or tools, including Machine Learning