Data Modeler

In this role, you will combine strong data expertise with knowledge of banking, lending, and collateral management. You understand how data supports credit decision-making, risk management, regulatory compliance, and collateral processes.

As the link between business and technology, you will translate business needs into scalable, high-quality data solutions. Working closely with stakeholders, architects, engineers, and data consumers, you will help deliver data products that support business objectives and regulatory requirements.

Your responsibilities include: Contributing to strategic credit data initiatives such as Definition of Default (DoD), Significant Risk Transfer (SRT), Early Warning Models (EWM), and the development of the Collateral Data Product. Gathering, analysing, and translating business and data requirements into actionable solutions. Identifying data gaps and improving the Credit Data Domain Store (CDDS), including data models, transformation logic, and storage solutions. Collaborating with architects to design scalable data solutions and maintain data models, mappings, lineage, and compliance. Taking end-to-end ownership of data initiatives from design and implementation through testing and release. Enabling Analytics & AI use cases through reliable and high-quality data products.

We are looking for a candidate with proven experience in business and data analysis, preferably within the banking sector and credit data domain. You can assess and validate data requirements, identify data gaps, and translate business needs into effective data solutions.Key skills include: Strong SQL and data analysis capabilities. Experience with conceptual, logical, and physical data modeling. Knowledge of data testing practices, including unit, regression, and acceptance testing. General understanding of IT delivery processes, release management, and tools such as Databricks. Familiarity with JSON and data mapping is an advantage. Ability to create and maintain mappings, build plans, and support ongoing data product improvements. Strong stakeholder management and communication skills, with experience working across business, technology, and senior management. Analytical, detail-oriented, and proactive mindset, with the ability to translate complex requirements into practical solutions. Ownership mentality and the ability to manage multiple change initiatives end-to-end in a dynamic environment.

Additional Banking & Collateral Knowledge To be successful in this role, we are specifically looking for candidates who bring: Solid understanding of banking products, lending processes, and credit risk management. Knowledge of collateral concepts, including collateral registration, valuation, monitoring, and reporting processes. Understanding of how collateral data supports regulatory reporting, risk management, capital optimization, and lending decisions. Experience working in complex banking environments with multiple stakeholders across business and technology teams. Familiarity with regulatory-driven data initiatives within the banking sector is considered a strong advantage. Understanding of how collateral data supports regulatory reporting, risk management, capital optimization, and lending decisions. Experience working in complex banking environments with multiple stakeholders across business and technology teams. Familiarity with regulatory-driven data initiatives within the banking sector is considered a strong advantage., Be flexible in communication and shift easily between topics. Handling multiple stakeholders at the same time is no problem for you. Expect to own approximately three topics simultaneously. Be strong in SQL querying. Simple queries, selecting, ordering, joining, grouping, etc. are no problem for you. You'll spend about 2-4 hours analyzing data per day, contributing to both problem solving and development of new data products. Read or decipher Python code to support bug fixing and solution analysis. Test your ETL outcomes and clearly explain test results, including supporting evidence for audits and control processes. Contribute actively to thought processes that improve the product, data quality, and ways of working. Our offer

Pulled from the full job description

• Referral program
• Pension plan
• Commuter assistance, A competitive salary of €8.300 gross per month, based on a 36-hour work week (starting salary depends on your knowledge and work experience); 25 vacation days per year, based on a 40-hour work week; 8.33% holiday allowance (paid in May); Pension plan (pension accrual starts from your first day of employment); Hybrid working opportunities; A dedicated Happy Manager to support your personal and professional development; Access to a wide range of training courses and development programs through The Ministry Of Compliance and Projective Academy; Referral bonus opportunity (€500 for every referred professional who starts an assignment); Travel allowance: choose between mileage reimbursement or a public transport pass; Work-from-home allowance and a budget to set up your home office.