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ABN AMRO Bank ищет Medior Data Analyst / Data Modeler для работы в Credits Data Domain Store (CDDS) в Financing Solutions. Вы будете владеть высоко‑impact data инициативами, переводить бизнес‑задачи в масштабируемые решения и сотрудничать с бизнес‑стейкхолдерами, архитекторами и инженерами для получения реальной ценности из данных.
Задачи включают развитие CBDM, поддержку регуляторной отчетности и управление качеством данных, а также участие в DoD, SRT, EWM и NextGen Lending.
At ABN AMRO, we're building the future of lending through data. As we continue our journey to become a personal bank in the digital age, high-quality credit and collateral data is more important than ever. It powers lending decisions, strengthens risk management, supports regulatory compliance, and enables innovation across the bank. We're looking for a Medior Data Analyst / Data Modeler to join the Credits Data Domain Store (CDDS) within Financing Solutions.
Take ownership of high-impact data initiatives within the Credit & Collateral domain. Translate business challenges into scalable, future-proof data solutions. Work on strategic programs such as Definition of Default (DoD), Significant Risk Transfer (SRT), Early Warning Models (EWM), and NextGen Lending. Partner with business stakeholders, architects, engineers, and risk specialists to deliver business value through data. Analyse complex datasets, identify opportunities for improvement, and drive data quality enhancements. Shape and maintain the Credits Business Data Model (CBDM), ensuring consistency, traceability, and regulatory compliance. Support the development of advanced analytics and AI use cases by providing reliable and well-governed credit data. Lead initiatives from idea to implementation, including analysis, design, testing, and release activities.
3-7 years of experience in Data Analysis, Business Analysis, Data Modelling, or a related discipline. Experience working within banking, lending, risk management, or another complex financial environment. Strong SQL skills and the ability to independently analyse large datasets. Experience with conceptual, logical, and physical data modelling. Understanding of data integration, ETL processes, and data quality management. Experience with testing, implementation, and release activities. Strong understanding of lending processes and credit risk management. Knowledge of Credit & Collateral products and their lifecycle. Understanding of how data supports regulatory reporting, risk monitoring, and business decision-making. Experience working in complex stakeholder environments where business and technology come together. You take ownership and enjoy driving topics from idea to delivery. You can easily switch between strategic discussions and detailed analysis. You are comfortable challenging assumptions and asking the right questions. You communicate effectively with both technical specialists and senior business stakeholders. You thrive in a dynamic environment where priorities evolve and continuous improvement is part of the culture. You are naturally curious and motivated to make a measurable impact.
Familiarity with Databricks, JSON, and modern data platforms is a strong advantage.