Senior Reference Data Associate

Overview

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

• Manage and transform financial reference data from legal, financial, and vendor sources.
• Ensure data accuracy, completeness, and timeliness across internal platforms.
• Analyze data to uncover trends and drive process enhancements.
• Respond to client inquiries with clear, well-reasoned analysis and solutions.
• Collaborate with internal teams and external stakeholders to support data initiatives.
• Develop tools (Excel/macros) and visualizations (charts, graphs) for reporting.
• Mentor junior associates and serve as a subject matter expert.

Knowledge and Experience

• Bachelor’s degree or equivalent experience.
• Strong analytical and problem-solving skills.
• Proficiency in Excel, Python, SQL, and data visualization.
• Excellent written and verbal communication skills.
• Solid understanding of financial markets and data products.
• Commitment to data integrity and continuous improvement.

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