Reference Data Specialist – Fixed Income & Data QA

Intercontinental Exchange (ICE); Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Intercontinental Exchange (ICE) is seeking a Data Engineer to manage securities data and reference data workflows within fixed income contexts. You will expertly parse, validate, and transform diverse documents and feeds to support client analytics and internal reporting.

You will collaborate with Pricing, Index, and Analytics teams, perform root-cause analyses, and contribute to automation initiatives while maintaining audit trails and strong client-facing documentation.

Qualifications

• Bachelor's degree in finance, economics, computer science, mathematics, or a related quantitative discipline.
• Advanced Excel skills, including complex formulas and pivot tables.
• Working knowledge of Python, SQL, or similar tools for data manipulation and automation.
• Familiarity with AI tools to support data processing, analysis, and automation.
• Proven ability to extract meaningful insights from dense legal and financial documents.
• Strong written communication skills for producing client and stakeholder-facing documentation.
• Fluency in English and proficiency in Mandarin to communicate effectively with stakeholders whose primary working language is Mandarin.
• Excellent attention to detail and ability to work accurately under time pressure.

Responsibilities

• Parse, interpret, and transform structured and unstructured data from legal prospectuses, offering circulars, regulatory filings, trustee reports, and vendor feeds into normalized reference data fields, applying rule-based and judgment-driven methods to handle complex cases
• Execute multi-layer validation checks for data completeness, consistency, and business-rule conformance to meet accuracy and timeliness SLAs
• Investigate root causes of data anomalies and contribute to error taxonomy and resolution playbooks
• Monitor data pipelines for drift, gaps, and outliers, escalating systematic issues with supporting evidence
• Respond to client data inquiries with structured, well-reasoned written explanations including issue restatement, methodology, and resolution rationale
• Collaborate with internal stakeholders (Evaluated Pricing, Index, Analytics) to clarify reference data requirements and identify upstream data gaps
• Serve as a subject matter escalation point for less experienced analysts on data interpretation questions
• Conduct targeted research and outreach to issuers, underwriters, and trustees to source authoritative documentation, maintaining audit trails and metadata for compliance
• Identify workflow inefficiencies and propose automation or process redesign opportunities with quantified impact estimates
• Develop script-driven tools to accelerate repetitive data extraction and validation tasks
• Contribute to ad hoc analytical projects such as data quality dashboards, trend analyses, and executive reporting

Skills

Advanced Excel

Python

SQL

AI tools

Data interpretation

English & Mandarin

Education

Bachelor's degree in finance, economics, computer science, mathematics, or related quantitative discipline

Tools

Python

SQL

Excel

Job description

Intercontinental Exchange (ICE) is seeking a Data Engineer to manage securities data and reference data workflows within fixed income contexts. You will expertly parse, validate, and transform diverse documents and feeds to support client analytics and internal reporting.

You will collaborate with Pricing, Index, and Analytics teams, perform root-cause analyses, and contribute to automation initiatives while maintaining audit trails and strong client-facing documentation.