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.
