Global Reference Data Analyst (Slavic Language)

ICE; Dublin; On-site; EUR 35,000 - 41,000; Full time

Benefits offered by this job

Healthcare coverage

Job summary

ICE Data Services in Ireland seeks a Data Engineer to join a structured onboarding program, progressing from parsing regulated documents to ownership of securities reference data.

You will work across data extraction, quality governance, and client support, using Python, SQL and Excel to transform sources such as prospectuses and filings, while ensuring accuracy and throughput targets in a fast-paced financial environment.

Qualifications

• Bachelor’s degree in finance, Economics, Computer Science, Mathematics, or a related quantitative discipline.
• Advanced Excel skills, including the use of complex formulas and pivot tables.
• Working knowledge of Python, SQL, or similar tools for data manipulation and automation.
• Familiarity with the use of 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, with experience producing client- or stakeholder-facing documentation.
• Fluency in English and Slavic, further language proficiency is an advantage.
• Excellent attention to detail, with a demonstrated ability to work accurately under time pressure.

Responsibilities

• Parse, interpret, and transform data from legal prospectuses, offering circulars, regulatory filings, trustee reports, and vendor feeds into normalized reference data fields.
• Identify and handle edge cases, ambiguous legal language, and novel instrument structures using rule-based and judgment-driven approaches.
• Execute multi-layer validation checks (completeness, consistency, 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; escalate systematic issues with supporting evidence.
• Respond to client data inquiries with structured, well-reasoned written responses — including restatement of the issue, methodology applied, and resolution rationale.
• Collaborate with internal consumers (Evaluated Pricing, Index, Analytics) to clarify reference data requirements and surface upstream data gaps.
• Serve as a subject matter escalation point for less experienced analysts on data interpretation questions.
• Conduct targeted research and direct outreach to issuers, underwriters and trustees, to source authoritative documentation.
• Maintain sourcing audit trails and documentation metadata to support reproducibility and compliance requirements.
• Identify workflow inefficiencies and propose automation or process redesign opportunities with quantified impact estimates.
• Build script-driven tools to accelerate repetitive data extraction and validation tasks.
• Contribute to ad hoc analytical projects including data quality dashboards, trend analyses, and executive reporting.

Skills

Advanced Excel

Python/SQL

AI tools for data processing

Strong written communication

English language fluency

Education

Bachelor's degree in finance, Economics, Computer Science, Mathematics

Tools

Python

SQL

Pivot tables in Excel

Job description

ICE Data Services in Ireland seeks a Data Engineer to join a structured onboarding program, progressing from parsing regulated documents to ownership of securities reference data.

You will work across data extraction, quality governance, and client support, using Python, SQL and Excel to transform sources such as prospectuses and filings, while ensuring accuracy and throughput targets in a fast-paced financial environment.