Medior Data Analyst / Data Modeler (Credit & Collateral Data)

at ABN AMRO

📍 Amsterdam, Netherlands

EUR 63,600-90,900 per year

MIDDLE

✅ Hybrid

🕙 36-40 hours per week

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

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AI Communication @ 6 Compliance Data Analysis @ 6 Databricks @ 1 ETL @ 3 JSON @ 1 Reporting @ 3 SQL @ 6

Details

ABN AMRO is looking for a Medior Data Analyst / Data Modeler to join the Credits Data Domain Store (CDDS) within Financing Solutions. The role focuses on shaping trusted Credit & Collateral Data Products that support lending decisions, risk management, regulatory reporting, capital optimisation, and innovation across the bank.

Responsibilities

Take ownership of high-impact data initiatives within the Credit & Collateral domain.
Translate business challenges into scalable, future-proof data solutions.
Work on strategic programmes including Definition of Default (DoD), Significant Risk Transfer (SRT), Early Warning Models (EWM), and NextGen Lending.
Collaborate with business stakeholders, architects, engineers, risk specialists, data engineers, analysts, and AI professionals.
Analyse complex datasets, identify improvement opportunities, and drive data quality enhancements.
Shape and maintain the Credits Business Data Model (CBDM), ensuring consistency, traceability, and regulatory compliance.
Support advanced analytics and AI use cases with reliable and well-governed credit data.
Lead initiatives from idea through implementation, including analysis, design, testing, and release activities.

Requirements

3–7 years of experience in data analysis, business analysis, data modelling, or a related discipline.
Experience in 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.
Familiarity with Databricks, JSON, and modern data platforms is an advantage.
Strong understanding of lending processes and credit risk management.
Knowledge of Credit & Collateral products and their lifecycle.
Understanding of data used for regulatory reporting, risk monitoring, and business decision-making.
Ability to work effectively in complex stakeholder environments connecting business and technology.
Strong ownership, analytical, communication, collaboration, and problem-solving skills.

Benefits

Monthly salary based on a 36-hour work week, including holiday pay and a flexible benefits budget.
Strong pension plan.
Hybrid working, flexibility in where and how you work, and a fully equipped home office.
Five weeks of annual leave plus additional company-wide days off.
Five Banking for Better Days each year for personal growth or contributing to a cause.
Personal learning budget for training, certifications, and conferences.
Annual public transport pass for work and personal travel across the Netherlands.
High-impact projects and opportunities for professional development.