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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 Early Careers Virtual Event – UK and EU
S&P Global’s Ratings Forward virtual event introduces UK and EU university students to credit analysis, current analysts, and potential 2027 internship and graduate opportunities.
Description
- Join Ratings Forward, a cross-regional virtual event on 22 October 2026 at 4pm BST/5pm CEST
- Explore S&P Global Ratings’ approach to credit analysis
- Discover what early-career success can look like at a major credit ratings provider
- Hear from graduates and a former intern now working as a full-time analyst during a panel showcase
- Take part in a guided Q&A with analysts and regional leaders
- Find out about upcoming internship and graduate vacancies
- Learn about application timelines and the recruitment process
- Complete a short online assessment if shortlisted
- Apply for 2027 internship and graduate opportunities if selected to attend
Requirements
- Be a current UK or EU university student graduating in 2027 or 2028
- Be in the second or third year of a BSc, BA, or MA degree
- Demonstrate strong financial and numerical ability
- Apply innovative and critical thinking
- Bring effective storytelling skills
- Show a genuine interest in credit analysis
- Work collaboratively, reliably, and with strong problem-solving ability
- Manage time and organize work effectively
- Communicate clearly while handling multiple tasks
- Learn quickly in fast-paced environments
- Take initiative to carry out independent research
- Have strong spreadsheet and Microsoft Office skills
- Be willing to learn about data, automation, and AI technologies such as Machine Learning, NLP, or RPA
- Present structured research clearly with a solutions-oriented approach
- Hold permanent rights to work in the UK or EU
- Reside in the UK or EU for the duration of the program
Benefits
- Health care coverage supporting mental and physical well-being
- Generous paid time off
- Ongoing learning resources and career development opportunities
- Competitive compensation
- Retirement planning support
- Continuing education assistance with company-matched student loan contributions
- Financial wellness programs
- Family benefits for partners and children
- Retail discounts
- Referral incentive awards
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