Intercontinental Exchange Holdings, Inc. is seeking a Specialist, Product Operations focused on Reference Data, supporting Equity and Funds securities across global markets. In this onsite role in Jacksonville, FL, you will research, analyze, interpret, transform, and present reference data while helping advance automation initiatives through repeatable tooling and data pipelines.
Job purpose
The primary purpose of this position is to research, analyze, interpret, transform, and present reference data for Equity and Funds securities across global markets. The role is designed for a data science background that can apply analytical and technical expertise to financial data operations and contribute to accelerating automation across team workflows.
The incumbent must successfully complete a structured two-month training program to develop subject matter expertise and gain proficiency with the relevant databases of record. Training includes assessments and accuracy and timeliness benchmarks that must be met.
Through the curriculum, you will gain exposure to market structures, client use cases, and evolving financing techniques. This helps you differentiate essential data, interpret complex terminology, and identify relevant information for downstream clients. The work supports ICE’s clients and internal stakeholders, including Evaluated Pricing, Index, and Analytics, which rely on accurate and timely reference data.
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 to ensure accuracy, completeness, and timely delivery.
- Use financial and legal subject matter understanding to make logical decisions on data extraction and interpretation.
- Collect 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 when needed.
- Identify data quality issues, trends, and gaps while staying current on evolving market practices, new financing structures, and emerging terminology.
- Apply analytical thinking to improve workflow efficiency, strengthen data quality, and support automation or process improvements.
- Contribute to the team’s automation agenda by developing scripts, tools, and repeatable solutions that 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 the wider team to scope, prioritize, and deliver automation improvements with measurable impact on productivity and data quality.
- Participate in ad hoc initiatives focused on optimizing processes, improving data completeness, and supporting automation opportunities.
- Communicate professionally with external market participants to obtain reference data, resolve discrepancies, and clarify terms or ambiguous content.
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 the 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.
Technologies
- Python
- SQL
- Excel
- VBA
- Excel Macros
- Web scraping
- Anthropic AI (Claude)
- Large language model (LLM)
Preferred skills
- 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 within an operational context.
- Proficiency in Portuguese, particularly for processing Latin American securities documentation.
- Additional proficiency in Spanish would be an added advantage.
