About the Role:

Grade Level (for internal use):

The Role: CREDit Graduate Program Analyst – Financial Services

Grade (for internal applicants only): 9 

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: 

Financial Services include the coverage of Banks, Non-Bank Financial Institutions, Funds, and Insurance. Bank and NBFI. CREDit analysts help their primaries analyze risk exposures, calculate capital levels, and often participate in examining market or economic data to understand the operational environment. The Funds team focuses on evaluating the various funds we rate and interpreting how changes to macro factors can affect performance. Our insurance analysts cover a broad industry that includes Property/Casualty, Life, Health, and Insurance Brokerage while comparing assets and liabilities to ensure insurance companies have adequate capital to absorb losses.

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. 

Compensation/Benefits Information: (This section is only applicable to US candidates)

S&P Global states that the anticipated base salary range for this position is $75,000 to $90,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.

In addition to base compensation, this role is eligible for an annual incentive plan.

This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

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 ex