Data Modeler – Finance

We are seeking a Data Modeler for the Finance domain to join our Tech Data & AI team. The successful candidate combines strong data modeling expertise with a solid understanding of Finance processes in a reinsurance context. You bring the ability to translate complex financial requirements into structured scalable and business-aligned data models.

This position goes beyond pure technical modeling: it requires ownership of how Finance data is represented across systems ensuring consistency traceability and alignment with enterprise standards to support reporting closing planning and decision-making.

Key duties and responsibilities

Under the responsibility of the Finance Lead Data Engineer your mission will be to:

• Design build and maintain conceptual logical and physical data models for Finance within the Data Foundation (Databricks & Palantir Foundry) supporting financial processes such as closing planning and performance analysis.

• Develop and evolve analytical data models that enable scalable reporting self-service analytics and AI-driven use cases.

• Contribute to the enterprise Finance data model ensuring consistent business definitions and alignment across domains and systems

• Collaborate with Data Engineers Architects and Finance stakeholders to ensure models reflect business semantics and integrate into the overall data architecture.

• Ensure data consistency reconciliation capability and proper handling of granularity time dimensions and historical tracking in financial datasets.

• Support metadata management business glossaries and data lineage in collaboration with data stewards to provide transparent and governed Finance data.

• Apply and promote data modeling standards and best practices to improve quality reusability and maintainability of Finance data assets.

• Translate complex Finance requirements into robust and scalable data structures that support both operational and analytical needs.

Required experience & competencies

• Strong experience in data modeling including conceptual logical and physical models.
• Proven experience in financial services with a solid understanding of Finance data and processes.
• Experience building analytical data models for reporting and analytics.
• Proficiency in SQL and/or PySpark with understanding of modern data platform architectures.
• Experience with Databricks and/or Palantir Foundry.
• Understanding of data governance metadata management and data quality principles.
• Strong analytical thinking attention to detail and ability to structure complex topics.
• Ability to collaborate effectively with both technical and business stakeholders.
• Excellent communication skills and ability to operate in an international matrix environment.

Required Education

• MSc or PhD in computer or data science software or computer engineering applied math physics statistics or a related field or equivalent experience