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S&P Global provides market intelligence, credit ratings, analytics, and benchmark indices for businesses, investors, governments, and other organizations worldwide. Its services cover finance, commodities, mobility, sustainability, energy transitions, and artificial intelligence, helping customers interpret market developments, assess credit risk, and make informed decisions.
The company delivers these insights through businesses including S&P Global Market Intelligence, S&P Global Ratings, and S&P Dow Jones Indices. Its data-driven products support research, risk analysis, benchmarking, and strategic planning across complex global markets.
S&P Global Ratings Early Careers Virtual Networking Event
S&P Global Ratings is hosting a virtual event for eligible students to explore credit analysis and early-career analyst opportunities. The program includes panels, analyst Q&A, and information about 2027 internships and graduate roles.
Description
- Join the virtual early-careers networking event on 21 October 2026
- Explore S&P Global Ratings’ approach to credit analysis and early-career development
- Hear panel discussions about graduate and full-time analyst experiences
- Take part in a guided Q&A with analysts and regional leaders
- Learn about upcoming internship and graduate opportunities
- Complete a brief online assessment if shortlisted
- Apply for 2027 internship and graduate opportunities if selected to attend
Requirements
- Be a current college or university student in the Americas graduating in 2027 or 2028
- Be in the second or third year of a BSc, BA, or MA program
- Demonstrate strong financial and numerical abilities
- Apply innovative and critical thinking
- Use effective storytelling skills
- Show genuine interest in credit analysis
- Work collaboratively as a dependable teammate
- Demonstrate strong problem-solving, time-management, and organizational abilities
- Communicate clearly, multitask effectively, and learn quickly in fast-paced environments
- Take initiative in conducting independent research
- Have strong spreadsheet and Microsoft Office skills
- Be willing to learn data, automation, and AI technologies such as machine learning, NLP, or RPA
- Present structured research clearly with a solutions-oriented approach
- Have an indefinite right to work in New York, Colorado, or Toronto
- Reside in the selected location for the duration of the program
Benefits
- Health coverage supporting physical and mental wellbeing
- Generous paid time off
- Ongoing learning resources and career development support
- Competitive compensation
- Retirement planning support
- Continuing education assistance with company-matched student loan contributions
- Financial wellness programs
- Family benefits covering partners and children
- Retail discounts
- Referral incentive awards
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