26 days ago
Monterrey, MexicoMid Level / Senior
Responsibilities
- Establish and maintain data feeds with custodian banks, data vendors, and other third-party providers.
- Develop scalable data integration solutions, data pipelines, transformations, and automated workflows.
- Evaluate and integrate APIs to retrieve, transform, and process data from various sources.
- Process, validate, transform, and migrate investment data into the platform while maintaining accuracy and integrity.
- Analyze data, investigate data-related issues, and deliver data-driven insights and solutions to leadership, clients, and the broader Data Team.
- Develop automation to streamline, standardize, and centralize integration processes and reduce manual effort.
- Identify opportunities to use emerging technologies and AI-assisted development to improve workflows and productivity.
- Collaborate with cross-functional teams to resolve technical challenges and improve data processes.
Requirements
- 3–5 years of relevant experience in Data Engineering, Data Analytics, Financial Analytics, or a related field.
- Strong proficiency in SQL and Python, with hands-on experience in data processing, analysis, and workflow automation.
- Experience developing, maintaining, and optimizing data pipelines, data transformations, and automated workflows.
- Understanding of data modeling, data quality, and database concepts, including work with large and complex datasets.
- Strong analytical and problem-solving skills and the ability to independently investigate issues.
- Bachelor's degree in Computer Science, Engineering, Finance, or a related field.
- Familiarity with modern AI tools and experience using AI-assisted development to improve efficiency and automation.
- Experience with Snowflake, Databricks, Apache Airflow, or Google Cloud Platform is a plus.
- Master's degree in a relevant discipline, knowledge of financial markets, and CFA charterholder or CFA candidacy status are preferred or additional advantages.
Benefits
- Transparent compensation schemes and comprehensive location-tailored employee benefits supporting financial security, health, and wellbeing.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- Global orientation programming and access to Learning@MSCI, an AI Learning Center, LinkedIn Learning Pro, and other learning opportunities.
- Professional growth through multi-directional career paths, internal mobility, and expanded roles.
- Inclusive workplace culture with Employee Resource Groups and reasonable workplace accommodations.
Tech Stack
Categories
Data Engineering
About MSCI Inc.
MSCI builds equity indexes, risk/portfolio analytics software, and ESG and climate datasets for institutional investors, who license benchmarks and subscribe to its research and tools. Its MSCI equity indexes are widely used as benchmarks for ETFs and institutional portfolios, and the firm also offers real estate and factor investing analytics. MSCI is headquartered in New York and is a public company listed on the NYSE (ticker: MSCI).