Reference Data Analyst - German Language at Intercontinental Exchange

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

Reference Data Analyst - German Language at Intercontinental Exchange in DUBLIN 2, D, IE. This Full time on site position offers great opportunities for career growth.

Job Purpose

Job Purpose This role sits at the intersection of financial data engineering and fixed income domain expertise. The incumbent will complete a structured three-month onboarding program, progressing from supervised document parsing and data validation to independent ownership of securities with standard structures. Training benchmarks include competency assessments, accuracy thresholds, and throughput targets. The training curriculum for the Data Engineer contains high level overviews of the complex structures worked on by more senior personnel as well as reference data client use cases so that the incumbent can differentiate between legal and financial language that is relevant to and required by our client base versus jargon describing information that is not required and, so that the incumbent can identify new financing techniques that come to market. The incumbent must then apply this foundation of knowledge via a logical sequence of decision‑making events to determine relevancy of said information to our clients for any of their use cases and if deemed relevant, determine the appropriate next steps to ensure high client satisfaction levels.

Responsibilities

• Data Extraction & Transformation 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 Identify and handle edge cases, ambiguous legal language, and novel instrument structures using rule-based and judgment-driven approaches
• Data Quality & Governance 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; escape systematic issues with supporting evidence
• Client & Stakeholder Support 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
• Research & Document Procurement 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
• Process Improvement & Analytics 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

Knowledge and Experience

• 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 German, further language proficiency is an advantage
• Excellent attention to detail, with a demonstrated ability to work accurately under time pressure

Preferred Knowledge and Experience

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

EU Base Salary Range

EU Base Salary Range The expected base salary for this role is between 35,000 - 41,000 EUR. The base salary range does not include Intercontinental Exchange’s incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on objective and gender-neutral criteria including skillset, qualifications and experience of the individual.

Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage.