Specialist, Product Operations, Reference Data

Intercontinental Exchange Holdings, Inc. • Jacksonville, AR

5d

About The Position

The Specialist, Product Operations, Reference Data researches, analyzes, interprets, transforms, and presents reference data for Equity and Funds securities across global markets. The role applies data science and technical expertise to financial data operations and contributes to accelerating automation across team workflows.

The incumbent completes a structured two-month training program to develop subject matter expertise and proficiency with the databases of record, enabling independent analysis of legal and financial documents associated with Equity and Fund securities. Training includes assessments and accuracy and timeliness benchmarks. The curriculum covers market structures, client use cases, and evolving financing techniques to help identify essential data, interpret complex terminology, and determine relevant information for downstream clients.

The work supports ICE clients and internal stakeholders, including Evaluated Pricing, Index, and Analytics teams, who rely on accurate and timely reference data.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative discipline; equivalent professional experience will be considered.
• 5+ years of corporate-level experience, or 2+ years of direct experience in reference data, financial operations, market data, or a related domain.
• Strong data science foundation, with demonstrable experience applying analytical and technical methods to real-world data problems.
• High attention to detail and ability to interpret complex legal and financial documentation.
• Strong analytical, decision-making, and problem-solving abilities.
• Ability to work effectively in a fast-paced, dynamic environment.
• Strong Excel skills, including functions, formulas, and data handling.
• Ability to convert large datasets into concise, actionable insights.
• Eagerness to learn, collaborate, and adapt to evolving market requirements.
• Successful completion of a structured two-month training program, including assessments and accuracy and timeliness benchmarks.

Nice To Haves

• Proficiency in Python for data automation, scripting, and workflow development.
• SQL skills for data querying, reconciliation, and validation against production databases.
• Excel Macros and VBA development for task automation and process efficiency.
• Experience with web-scraping tools and techniques for automated data collection.
• Familiarity with Anthropic AI (Claude) or other large language model platforms applied to data workflows.
• Exposure to AI, automation, or machine-learning concepts in an operational context.
• Proficiency in Portuguese, particularly for processing Latin American securities documentation.
• Additional proficiency in Spanish.

Responsibilities

• Analyze, interpret, collate, and transform reference data for simple structures and events in primary or secondary markets by reviewing legal documents, vendor data, and third-party reports, ensuring accuracy, completeness, and timely delivery.
• Apply financial and legal subject matter understanding to make sound, logical decisions about data extraction and interpretation.
• Gather required documents through advanced research and direct outreach to issuers, trustees, underwriters, and other market participants.
• Provide data and product support by responding to inquiries and conducting additional analysis as needed.
• Identify data quality issues, trends, and gaps, and maintain awareness of evolving market practices, financing structures, and terminology.
• Apply analytical thinking to improve workflow efficiency and data quality and support automation or process improvements.
• Develop scripts, tools, and repeatable solutions to reduce manual effort and improve throughput.
• Build and maintain automated data extraction, transformation, and validation pipelines that support production workflows and scale with increasing data volumes.
• Collaborate with the Operations Manager and wider team to scope, prioritize, and deliver automation improvements with measurable productivity and data-quality impact.
• Participate in initiatives to optimize processes, improve data completeness, and support automation opportunities.
• Communicate professionally with external market participants to obtain reference data, resolve discrepancies, and clarify terms or ambiguous content.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level