German Reference Data Analyst — Data Quality & Automation

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

Benefits offered by this job

Healthcare coverage

Job summary

Intercontinental Exchange in Dublin is seeking a Reference Data Analyst with German language skills. The role sits at the intersection of financial data engineering and fixed income domain expertise, featuring a structured onboarding program and progression to independent data ownership.

The incumbent will extract, validate, and normalize reference data from vari­ous documents, maintain data quality, and support clients with data inquiries.

Qualifications

• Bachelor’s degree in finance, Economics, Computer Science, Mathematics, or a related quantitative discipline.
• Advanced Excel skills with complex formulas and pivot tables.
• Working knowledge of Python, SQL, or similar tools for data manipulation and automation.
• Fluency in English and German.
• Excellent attention to detail and ability to work under time pressure.

Responsibilities

• Data Extraction & Transformation: Parse, interpret, and transform data from legal prospectuses, filings, trustee reports, and feeds into normalized reference data fields.
• Data Quality & Governance: Run multi-layer validation checks to meet accuracy SLAs and investigate data anomalies.
• Client & Stakeholder Support: Respond to client data inquiries with structured responses and collaborate with internal teams to clarify requirements.
• Research & Document Procurement: Source authoritative documentation from issuers and trustees and maintain audit trails.
• Process Improvement & Analytics: Identify workflow inefficiencies and propose automation and dashboards.

Skills

Fluent English/German

Advanced Excel

Python/SQL

Attention to detail

Education

Bachelor’s degree in finance, Economics, CS, math or related quantitative discipline

Tools

Python/SQL

Excel

Job description

Intercontinental Exchange in Dublin is seeking a Reference Data Analyst with German language skills. The role sits at the intersection of financial data engineering and fixed income domain expertise, featuring a structured onboarding program and progression to independent data ownership.

The incumbent will extract, validate, and normalize reference data from vari­ous documents, maintain data quality, and support clients with data inquiries.