Senior Data Manager - Intercontinental Exchange

ICE Data Services; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

ICE Data Services seeks a Financial Data Engineer to join our fixed income data team in Singapore. You will complete an onboarding program and independently manage securities data, ensuring accuracy and relevance for client use cases and internal analytics.

The role requires parsing and transforming data from legal and regulatory documents, performing rigorous validation, and collaborating with stakeholders across Pricing, Index, and Analytics to close data gaps.

Qualifications

• Bachelor’s degree in finance, economics, computer science, mathematics, or related quantitative discipline.
• Advanced Excel with complex formulas and pivot tables.
• Proficiency in Python/SQL or similar for data manipulation and automation.
• Familiarity with AI tools to support data processing, analysis, and automation.
• Proven ability to extract insights from dense legal and financial documents.

Responsibilities

• Parse, interpret, and transform structured and unstructured data from legal documents into normalized reference data fields.
• Perform multi-layer validation checks for data completeness and accuracy to meet SLAs.
• Investigate root causes of data anomalies and contribute to resolution playbooks.
• Monitor data pipelines for drift, gaps, and outliers with supporting evidence.
• Provide structured explanations to client inquiries including methodology and resolution rationale.
• Collaborate with internal stakeholders to clarify data requirements and identify upstream gaps.
• Act as escalation point for less experienced analysts on data interpretation.

Skills

Advanced Excel

Python

SQL

Data manipulation

AI tooling familiarity

English fluency

Mandarin proficiency

Attention to detail

Time management

Education

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

Tools

Python

SQL

Job description

Company Overview

ICE operates the world's largest stock exchange and global markets, leading in fixed income and data services. They connect people with data and technology to drive innovation and deliver insights that empower trading, risk management, and investment decisions.

Job Summary

This role combines financial data engineering with fixed income expertise. You will complete a structured onboarding program to independently manage securities data, ensuring accuracy and relevance for client use cases and internal analytics.

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 judgement-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

Required competencies and certifications

• 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

Preferred competencies and qualifications

• Experience in fixed income operations, reference data, market data, or financial data management
• Exposure to fixed income instruments such as bonds, structured products, municipals, ABS/MBS, and convertibles
• Understanding of data governance frameworks, data lineage, or master data management concepts