Website JPMorganChase
About JPMorganChase
JPMorgan Chase & Co., one of the world’s oldest financial institutions, traces its origins back more than 200 years. The firm offers a wide range of financial services, including investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management. With a presence in over 100 countries, JPMorgan Chase is a leader in financial services, providing solutions to millions of consumers, small businesses, and an array of corporate, institutional, and government clients under the J.P. Morgan and Chase brands. Committed to diversity and inclusion, the company prides itself on maintaining a workforce that reflects the global communities it serves. For more information about JPMorgan Chase & Co., visit their website.
About this Role
As a Sustainable Investing Research Associate at JPMorganChase, you will be at the forefront of data analytics, transforming complex datasets into actionable insights that drive sustainable investing. This role involves close collaboration with global research and technology teams to enhance investment decision-making through data-driven analysis. The successful candidate will contribute to building scalable data workflows, ensuring data quality, and delivering impactful analytics. In the role, you will generate insights from large datasets, construct analytical workflows using Python and SQL, and translate complex analyses into clear, decision-ready narratives. You will also develop visualizations to illustrate trends and perform rigorous data validations. The position involves designing data controls for metric accuracy and collaborating with data and technology teams to troubleshoot and enhance data pipelines.
Responsibilities
- Generate data-driven insights from large datasets to support sustainable investing research
- Build analytical workflows using Python and SQL
- Translate complex analysis into clear, decision-ready narratives and presentations
- Develop visualizations to explain trends and data considerations
- Perform data validation including benchmarking and sensitivity analysis
- Investigate and resolve data issues through root cause analysis
- Design data controls to ensure metric accuracy and reliability
- Maintain scalable data pipelines for dataset management
- Partner with data and technology teams to troubleshoot and enhance processes
- Support implementation and validation of changes across platforms
Requirements
- Experience using Python or R for data analysis and automation
- Strong SQL skills and experience with large datasets and complex queries
- Experience with large-scale data platforms, such as Snowflake
- Ability to translate business questions into data-driven insights
- Strong analytical thinking with attention to detail
- Excellent communication skills for conveying complex concepts
- Ability to deliver work within fast-paced, deadline-driven environments
- Rigorous data validation skills
Benefits
- Not Specified
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