Analyst

• Assist the Analytics & Research group in S&P Ratings, working closely with domain-level Chief Analytical Officers and the Analytical Oversight and Consistency Committee members.
• Collate data on various market indicators like equity, CDS, bond spreads, competitors ratings, etc., from various internal and external sources.
• Identify, analyze, and interpret trends or patterns in unstructured data sets.
• Maintain periodic domain-level market monitoring tools or reports.
• Create customized reports periodically and on request, capturing key data points and flagging statuses that require attention.
• Gather data, reporting, and analytical requirements from various sources, and establish scalable, efficient, automated processes for large-scale data analysis.
• Work closely with S&P clients on operational projects focused on improving consistency in processes across different practices/analytical teams.
• Support in the development, maintenance, and enhancement of research analytical tools by leveraging new technologies and techniques.
• Execute the work under the Manager's guidance and in consultation with the S&P analysts.
• Regularly interact with S&P analysts on analytics, keeping them updated on the progress of deliverables and alerting them about any exceptions or emerging difficulties.
• Actively participate in team/client calls/huddles/AOCC meetings and document the minutes for the meetings.
• Follow defined processes in day-to-day execution and adhere to organization-wide requirements.
• Practice and follow all Information Security Policies, Procedures, and Guidelines.
• Update and maintain task-level operating manuals as per business requirements.
• Build and maintain cordial and healthy work relationships with onshore clients.

Key Skills:

• Understanding of business and financial terms/concepts and capital markets.
• Knowledge of structured finance domain (preferred).
• Proficiency in Advanced MS Office (Excel, PowerPoint).
• Experience with platforms such as Bloomberg, S&P CapitalIQ, MicroStrategy.
• Basic/intermediate knowledge of automation tools like Python, and visualization tools like Tableau, QlikSense.
• Strong communication skills and experience in handling conference calls.