Analyst Ratings Research & Development (R&D)
Location: Pune (Hybrid)
Specialization: Data Automation, Credit Research, Sustainability, & Private Markets
Role Overview
As an Analyst within the Ratings Research & Development (R&D) team, you will sit at the heart of S&P s research group. Your mission is to bridge the gap between complex financial research and scalable data solutions. You will be responsible for supporting S&P Ratings by designing and implementing Python-based automation to transform how we source, process, and analyze data across Sustainability (ESG), Private Markets, and Global Credit.
This is a dual-impact role: you will contribute to high-level thematic publications while simultaneously building the "engine" that powers our data acquisition and analytical accuracy.
Key Responsibilities
1. Technical
- Data Sourcing Automation: Design and maintain Python-based scripts to automate the collection of credit, sustainability and private market data.
- Processing & Optimization: Develop robust scripts to clean, normalize, and process unstructured datasets into structured formats ready for credit analysis.
- Tool Development: Create and update internal Python tools and SQL databases to streamline the "Ratings Research" workflow, reducing manual data entry and increasing analytical bandwidth.
2. Domain-Specific Research Support
- Sustainability & ESG: Support analysts in evaluating physical and transition risks by automating the extraction of key metrics from CSRD/TCFD reports and CDP filings, sustainability reports or internal databases.
- Private Markets: Develop methodologies to capture and analyze opaque data points within private credit and equity, providing transparency in traditionally underserved sectors.
- Credit Strategy: Contribute to thematic reports and "thought leadership" by providing quantitative evidence and data-driven insights on bond market trends and corporate rating actions.
Requirements
- Master s degree with some financial report writing skills, with background in either sustainability, credit research or private markets.
- Mid-level Python proficiency (Pandas, NumPy) and SQL. Experience with Databricks is an advantage.
- Conversant in Excel for financial report writing and bond market tracking.
- Ability to synthesize technical data into clear, "publication-ready" English for a global audience
- Experience in handling conference calls and maintaining sound communication with onshore clients
- Knowledge of databases such as Bloomberg, S&P Cap IQ (added advantage)
- Ability to take ownership and execute tasks independently
- Positive attitude with qualities of a team player
- Open to new ideas and initiatives