We are looking for a Senior Technical Business Analyst (m/f/d) (unlimited) Join our team at our location in Berlin – hybride working conditions available.
Key Responsibilities Lead end-to-end business analysis initiatives across complex, cross-functional projects, from discovery through delivery and post-implementation evaluation. Act as a domain expert in customer risk, fraud prevention, and underwriting (BNPL / Consumer Finance), proactively identifying opportunities for optimization and innovation. Partner with product leadership, engineering, data science, and stakeholders to shape product strategy and influence roadmap decisions. Drive the decomposition of large initiatives into epics and user stories, ensuring clarity, scalability, and alignment with architectural principles. Own and refine business and system requirements, ensuring consistency across systems (e.g., workflow engines, decision systems, data platforms). Assess the impact of regulatory, risk, and fraud-related changes (e.g., BaFin or EU requirements) on systems and processes. Ensure high-quality delivery by defining acceptance criteria, supporting testing strategies, and validating complex business logic. Mentor and support junior analysts, promoting best practices in documentation, analysis, and stakeholder communication. Contribute to continuous improvement of analysis frameworks, tooling, and team ways of working.
Skills & Qualifications Degree in Business Informatics, Computer Science, Economics, or a comparable field. 5+ years of experience as a Technical Business Analyst in FinTech, payments, or financial services. Strong domain expertise in risk, fraud, or payment processing systems. Proven experience leading complex initiatives and influencing cross-functional stakeholders. Advanced ability to translate business needs into scalable system designs, including APIs, workflows, and data models. Deep experience working in agile environments (Scrum/Kanban), including backlog ownership and refinement. Excellent analytical thinking, problem-solving, and stakeholder management skills. Strong communication skills, with the ability to engage both technical and non-technical audiences. High level of ownership, autonomy, and decision-making capability. Fluency in English. German language skills are a strong plus.
Nice to Have Experience with BNPL, consumer finance, or credit risk decisioning systems. Hands-on experience with data analysis tools (e.g., Python, SQL, Databricks, Power BI). Familiarity with fraud detection systems and rule/ML-based decision engines. Exposure to regulatory requirements in banking and financial services (e.g., BaFin, PSD2, GDPR).