Job Opportunities API

Senior Consultant - Data Modeler Location:  Luxembourg, LU Company:  Deloitte Luxembourg Job Function:  Consulting Services Seniority:  Senior levels Contract Type:  Open-term Your future team Join our team as Data Modeler to design, develop, and maintain high-quality data models for leading financial institutions that support enterprise data warehousing, business intelligence, analytics, and regulatory reporting. The Data Modeler will be responsible for creating conceptual and logical, and support in the creation of technical data models, ensuring alignment with business requirements, data governance standards, and enterprise architecture. The ideal candidate will possess strong expertise in banking data domains and be familiar with regulatory reporting frameworks, including AnaCredit, FINREP, and COREP, as well as broader regulatory expectations such as BCBS 239. The Data Modeler will collaborate closely with business stakeholders, regulatory reporting teams, data architects, and IT delivery teams to ensure that 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 • Conceptual Data Modeling o Develop enterprise-level conceptual data models representing key banking domains, including Customers and counterparties, Credit facilities and exposures, Deposits and accounts, Financial instruments and securities, Collateral and guarantees, Risk and capital metrics, General ledger and accounting, etc. o Facilitate workshops with business stakeholders to capture business concepts, definitions, and relationships. o Align conceptual models with the enterprise data strategy and business glossary. o Ensure consistency of terminology across Risk, Finance, and Regulatory functions. • Logical Data Modeling o Translate conceptual models into detailed logical data models o Ensure traceability from business requirements to logical structures. o Align models with regulatory data dictionaries and industry standards, such as the Banks' Integrated Reporting Dictionary (BIRD). • Physical Data Modeling Support o Provide guidance and validation for physical data models implemented in Enterprise Data Warehouses or lakehouse environments. o Collaborate with data architects and engineers to define table structures and storage strategies, indexing and partitioning, data lineage and auditability. o Support implementation across different technologies • Regulatory Reporting Enablement o Design data structures supporting regulatory reporting (e.g.: AnaCredit, FINREP, COREP, etc.) o Ensure alignment with EBA/ECB taxonomies. o Collaborate with Risk and Finance teams to interpret regulatory requirements and translate them into data model specifications. o Support data reconciliation between finance, risk, and regulatory datasets. o Contribute to compliance with BCBS 239 principles, ensuring data accuracy, completeness, consistency, and traceability. • Data Warehouse & Analytics Modeling o Design data models for Enterprise Data Warehouses and data marts supporting risk, finance, and customer analytics. o Apply appropriate modeling methodologies o Ensure models support historization, audi