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Intercontinental Exchange, Inc. is seeking a detail-oriented Reference Data Associate to manage and enhance financial reference data across ICE US Municipal data products. The role emphasizes data quality, workflow optimization, and cross-team collaboration to deliver accurate, timely information to clients.
The successful candidate will develop Excel-based tools and visualizations, apply Python/SQL skills, and mentor junior staff while supporting data initiatives in a fast-paced environment.
Job Purpose
At ICE, we foster a culture of innovation, collaboration, and continuous learning. We value diverse perspectives and empower our employees to take ownership of their work. Our teams are driven by curiosity and a shared commitment to excellence, integrity, and delivering value to our clients. We support professional growth through mentorship, training, and opportunities to work on impactful projects in a dynamic, fast-paced environment.
We are seeking a detail-oriented and analytical Reference Data Associate to manage and enhance financial data processes supporting ICE US Municipal data products. This role involves interpreting complex data, optimizing workflows, and collaborating across teams to ensure data quality and client satisfaction. In today's fast-paced and technology-driven world, staying ahead of the curve is crucial for success. Utilizing the latest automation tools, we will significantly enhance productivity, streamline processes, and reduce human error. These tools enable data associates to efficiently manage large datasets, perform complex analyses, and generate insightful data to our clients.
Responsibilities
Knowledge and Experience
Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.