Sustainable Investing Research Associate

You are a curious and analytical thinker passionate about using data to drive sustainable investing insights. You have found the right opportunity.

As a Sustainable Investing Research Analyst (Data & Analytics), you will work closely with global research and technology teams to generate actionable insights from complex datasets. You will play a key role in building scalable data workflows, strengthening data quality controls, and delivering high-impact analytics that support investment decision-making.

Job Responsibilities

• Generate data-driven insights from large datasets to support sustainable investing research
• Build analytical workflows using Python and SQL to explore data, design features, and validate findings
• Translate complex analysis into clear, decision-ready narratives and presentations
• Develop visualizations to explain trends, drivers, and data quality considerations
• Perform robust validation including benchmarking, sensitivity analysis, and reconciliation checks
• Investigate and resolve data issues through root cause analysis and remediation validation
• Design and implement data controls to ensure accuracy, consistency, and reliability of key metrics
• Build and maintain scalable data pipelines to source, transform, and reconcile datasets
• Partner with data and technology teams to troubleshoot pipeline issues and deliver enhancements
• Support implementation of changes across internal platforms with clear testing and validation
• Contribute to continuous improvement of data processes, controls, and analytics capabilities

Required Qualifications, Capabilities and Skills

• Experience using Python or R for data analysis and automation with strong coding discipline
• Strong SQL skills, including experience working with large datasets and complex queries
• Experience working with large-scale data platforms such as Snowflake or similar environments
• Proven ability to translate business questions into data-driven analysis and actionable insights
• Strong analytical thinking with attention to detail and data integrity
• Ability to communicate complex concepts clearly through written and verbal communication
• Experience delivering work in fast-paced environments with tight deadlines
• Ability to validate data rigorously and ensure accuracy of outputs

Preferred Qualifications, Capabilities and Skills

• Interest in sustainability and responsible investing themes
• Experience working with sustainability or ESG-related datasets
• Exposure to collaboration with data, platform, or technology teams
• Familiarity with statistical or machine learning libraries such as scikit-learn or statsmodels
• Advanced degree in a quantitative or technical field