Senior Consultant - Data Modeler

Your future team Join our team as a Data Modeler to design, develop, and maintain high‑quality data models for leading financial institutions, supporting enterprise data warehousing, business intelligence, analytics, and regulatory reporting. You will create conceptual and logical models and support the creation of technical/physical models, ensuring alignment with business requirements, data governance standards, and enterprise architecture. The ideal candidate has strong expertise in banking data domains and is familiar with regulatory reporting frameworks such as AnaCredit, FINREP, and COREP, as well as broader regulatory expectations like BCBS 239. You will work closely with business stakeholders, regulatory reporting teams, data architects, and IT delivery teams to ensure data structures accurately reflect business concepts and support high‑quality, auditable reporting. The advantages of joining us Career growth, your way Access top-notch training and career development, with a clear progression path to help you level up at your own pace. Global impact, local connections Work on international projects and collaborate with diverse teams, all while making an impact locally. Innovative work that matters Tackle cutting-edge projects and utilize the latest tech, with all the tools you need to stay ahead. Inclusive, flexible culture Embrace a culture where your voice matters, with flexible hours to balance work and life seamlessly. Purpose-driven work Get involved in sustainability initiatives and community service, making a real difference while growing your career. How you’ll contribute to our success Design and maintain conceptual and logical data models for core banking domains (customers and counterparties, credit facilities and exposures, deposits and accounts, financial instruments and securities, collateral, risk and capital metrics, general ledger and accounting). Run workshops with business stakeholders to capture and standardize business concepts, definitions, and relationships, ensuring consistent terminology across Risk, Finance, and Regulatory functions. Translate business and regulatory requirements into clear, well‑structured data models aligned with the enterprise data strategy, business glossary, and regulatory data dictionaries (e.g. BIRD). Support and validate physical data models in enterprise data warehouses and lakehouse environments, including table design, indexing/partitioning, storage strategies, and data lineage/auditability. Design data structures that enable regulatory reporting (e.g. AnaCredit, FINREP, COREP), aligned with EBA/ECB taxonomies and BCBS 239 principles (accuracy, completeness, consistency, traceability). Support data reconciliation and consistency between finance, risk, and regulatory datasets. Design data models for data warehouses and data marts supporting risk, finance, and customer analytics, ensuring historization, audit trails, and regulatory traceability. …