(Senior) Risk Data & Analytics Engineer

About the opportunity We are looking for a technically advanced Risk Controlling professional to bridge the gap between methodology and implementation. The role sits within the ICAAP Methodology & Analytics team and focuses on translating regulatory and methodological requirements into robust, scalable, and audit-proof technical solutions. In this role, you will take ownership of implementing risk methodologies in Python, enhancing our internal risk tooling, and driving automation and data quality across risk processes. You will work closely with methodology teams, data engineers, and other stakeholders to ensure that risk models and reporting processes are implemented efficiently, transparently, and in line with regulatory and audit requirements. At N26, we are redefining banking through technology and innovation. As Risk Data & Analytics Engineer, you will have the opportunity to shape the future of risk management in a fast-paced, forward-thinking environment. Join us and be part of a team that values collaboration, innovation, and excellence, while enjoying the hybrid work model from Berlin or Madrid. In this role, you will: Implement risk models and methodologies developed across Risk Controlling (e.g. ICAAP models, capital and liquidity ratios) into production-ready Python solutions. Enhance and maintain the internal risk controlling tool, improving scalability, robustness, and usability. Translate regulatory requirements into audit-proof, automated processes, including controls and documentation standards. Support the implementation of upcoming regulatory changes and new products. Collaborate with data and engineering teams to establish reliable data pipelines and ensure high data quality and consistency. Develop and maintain automated risk reporting processes and supporting infrastructure. Ensure traceability, reproducibility, and transparency of all implemented models and processes (audit readiness). Contribute to improving development standards (testing, versioning, documentation, code quality) within Risk Controlling. Act as a key interface between risk methodology, data, and technology teams. What you need to be successful: Background Degree or equivalent experience in Computer Science, Data Engineering, Software Engineering, Mathematics, or a similar technical field. Experience in building and maintaining data-driven applications or analytical systems in Python. Experience working in environments where data quality, traceability, and robustness are critical. Skills Strong proficiency in Python (object-oriented programming, data processing, modular code design). Solid SQL skills and experience working with large and complex datasets. Experience designing and working with data pipelines and system integrations. Strong focus on automation, including building scalable and reusable solutions. Familiarity with software engineering best practices (e.g. version control, testing, code reviews; CI/CD). Interest in financial risk management and regulatory topics. Initial exposure to risk, finance, or regulatory environments (e.g. banking, fintech) is a plus. Understanding of concepts such as risk metrics, reporting, or controls is beneficial but not required. Strong problem-solving skills with attention to detail. What’s in it for you: Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀. Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members. Additional day of annual leave for each year of service. A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, experiences, and backgrounds. A relocation package with visa support...