Data Analyst Lending, Savings & Retail Investments

The Lending, Savings and Retail Investments (LSR) department supervises financial products and services for consumers, such as mortgages, credit, savings, payments and investments. We ensure that information is clear and that online services are easily accessible. Together we ensure that the customer's interest is central, especially for vulnerable groups. Our supervision focuses on identifying and addressing risks for consumers. We want to do this as quickly and effectively as possible. To make more impact, we use data in a smart way. In doing so, we continuously look for signals, test assumptions, and bring risks and possible blind spots into view. This way we can respond more quickly to changes in the financial sector. The issues you work on are often new, complex and current. Think of risks around Buy Now Pay Later, online investment platforms, AI applications or developments in the crypto market. Your analyses contribute directly to choices the AFM makes in its supervision. This is what you will do: - Collaborate with supervisors to identify risks for consumers in a timely manner. - Develop data products that translate insights into targeted actions. - Implement reliable and scalable solutions for more effective supervision. - Visualize results in dashboards that support supervisors. - Identify opportunities to organize processes more intelligently and automate repetitive work. - Experiment with new techniques such as AI to make supervision smarter, faster and more effective. **Team** The Data Analysis & Innovation team is one of the five teams within the LSR department. This team is responsible for further developing and executing the Data-Driven Supervision Strategy (DGT) of LSR. This means the team translates supervisory questions into data-driven solutions. We are building a solid foundation and a clear plan (roadmap) for the entire department. The team also helps to truly start using data in supervision. This way, we can in the future better check whether institutions comply with the rules, assess risks, and deploy smart technology such as AI to make our work faster and more efficient. The team also looks at risks of new technology in the financial sector. In this way, we play an important role in identifying risks in a timely manner. **The deadline for this vacancy is 25 November 2026.** **We ask the following:** ⭐ A completed university (WO) degree, for example in Data Science, Business Analytics, Mathematics, Econometrics, Technology & Business Management or a comparable (science) study with a strong analytical or statistical component. ⭐ At least 2 years of work experience and knowledge of the data/science field and the associated tools and techniques. Experience with Microsoft Power BI, SQL, Python, Azure Databricks is required. ⭐ Knowledge of software development, version control, code review and unit testing is required. ⭐ Analytically strong: the ability to analyze complex datasets, recognize patterns and generate insights. You do not accept information without question, test assumptions, and identify risks, deviations and possible blind spots. ⭐ Proactive attitude: you enjoy working together and contribute to shared success, while at the same time you can independently make decisions and turn analyses into concrete and usable outcomes. ⭐ Communication skills: you can convey complex technical information clearly and concisely to non-technical or less technical colleagues. Experience with data visualization to present data in an understandable and accessible way for various stakeholders. **Please note: excellent proficiency in Dutch, both verbal and written, is required for this position.** **What we offer:** 📄 You start with a one-year contract with prospects of a permanent employment contract 💰 Depending on knowledge and experience, you will be placed in scale F (junior, with a gross annual salary between €52,500 and €87,000) or scale G (medior, with a gross annual salary between €62,000 and €103,500). Amounts are based on a 36-hour working week, including 13th month and holiday allowance ⏰ 36-hour working week, workdays in consultation (e.g. 4x9) 🌴 199.5 vacation hours per year (on top of your standard rostered day off) 💻 A laptop and a smartphone 📚 Extensive training and development opportunities 🚆 Full reimbursement of public transport costs (2nd class) 🏡 Home working allowance for home working days 💪 Contribution to a gym membership 🚲 Attractive secondary employment conditions such as a bike and device scheme and allowance for your home workspace **More information?** For questions about the vacancy, contact Megan van Rooij (recruiter) via