About the Role:

Grade Level (for internal use):
07

The Team: The team is responsible for creating and delivering high-quality financial content from sell-side research, leveraging both advanced data extraction technologies and domain expertise. The team thrives on collaboration, values precision, and is committed to driving efficiency in the data collection process, ensuring impactful insights for clients.

The Impact: This role plays a critical part in delivering accurate and actionable financial insights, which empower clients to make well-informed investment decisions. By ensuring the highest standards of data quality and reliability, this position strengthens the credibility and usability of our consensus data. It directly contributes to enhancing client satisfaction, driving business success, and maintaining a strong presence in the financial markets.

What's in it for You:
- Opportunity to build expertise in understanding sell side models for publicly-listed companies, enhancing your analytical and domain knowledge.




- Develop a robust understanding of diverse business models and gain sector-specific insights.
- Exposure to data extraction tools and methodologies.
- Professional growth through structured learning and cross-functional teamwork.

Responsibilities:
- Extract and prepare insightful financial content from sell-side research using a mix of extraction technologies and sector knowledge.
- Analyze diverse business models for publicly listed companies and surface key modeling approaches.
- Conduct thorough data quality checks to ensure accuracy and reliability.
- Collaborate within the team to optimize and enhance data collection processes.
- Communicate findings effectively with stakeholders across the organization.
- Incorporate changes in sell-side models to maintain consensus estimates for companies under a specific sector.
- Highlight errors in models to improve the basic inputs of decision making for the investing community.

What We're Looking F

📌 Research Associate I (Mumbai)
🏢 S&P Global
📍 Mumbai