15 ago
|
S&P Global
|
Ciudad de México
15 ago
S&P Global
Ciudad de México
About the Role: Grade Level (for internal use): 10
The Team
The Equity Data value stream at S&P; Dow Jones Indices is a collaborative, detail-oriented team that takes pride in being the foundation for globally recognized financial products. We value precision, innovation, and cross-functional partnership as we manage critical data that powers flagship indices used worldwide. Our team thrives on solving complex data challenges and continuously improving processes to maintain the highest standards of data integrity in fast-moving financial markets.
Responsibilities and Impact
- Design and maintain the unified Security Master database serving as the single source of truth for equity, fixed income, and derivatives reference data across all S&P; DJI products.
- Develop and implement robust data quality frameworks including automated validation, auditing, and reconciliation processes to ensure 99%+ data accuracy and completeness.
- Process and integrate complex corporate actions (mergers, acquisitions, splits, dividends) into the security master,
ensuring timely and accurate reflection across downstream systems.
- Build and optimize complex SQL scripts and Python automation tools to streamline data workflows and reduce manual processing time by 30%+.
- Collaborate with index calculation, product development, and client support teams to align security master capabilities with evolving business requirements and new product launches.
- Lead process improvement initiatives to identify data gaps, enhance operational efficiency, and contribute to innovative solutions for handling emerging security types and market structures.
What We’re Looking For
Basic Required Qualifications
- 5+ years of experience in financial services with knowledge of securities business, including equity markets, trading operations, or investment management.
- Advanced SQL skills with proven ability to independently build complex scripts for data extraction, transformation, and validation across larg
📌 Analyst, Reference Data (Ciudad de México)
🏢 S&P Global
📍 Ciudad de México