About the Role
As a Senior Business Analyst in our Product team, you will shape and deliver our Consumer Risk Platform, the core capability behind real-time credit decisioning, fraud prevention, and customer risk assessment in our BNPL and checkout products. You will work at the intersection of Product, Risk, Data Science, Compliance, and Engineering, turning complex risk and regulatory requirements into scalable platform solutions.
Responsibilities
•Lead business analysis for complex, cross-functional initiatives, from discovery to delivery and post-implementation evaluation.
•Act as a domain expert for customer risk, fraud prevention, and underwriting, and proactively identify opportunities for optimization and innovation.
•Break down large initiatives into epics and user stories, aligned with architectural principles.
•Define acceptance criteria, support testing strategies, and validate complex business logic.
•Own and refine business and system requirements across our risk platform landscape, including workflow engines, decision engines, data platforms, and third-party integrations.
•Assess the impact of regulatory and risk changes (e.g., BaFin or EU requirements) on systems, processes, and customer journeys.
•Partner with product leadership, engineering, and data science to influence roadmap decisions.
•Mentor junior analysts and help improve our analysis frameworks and ways of working.
Requirements
•Degree in Business Informatics, Computer Science, Economics, or a comparable field.
•5+ years of experience as a Technical Business Analyst (or similar) 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.
•Ability to translate business needs into scalable system designs, including APIs, workflows, and data models.
•Deep experience in agile environments (Scrum/Kanban), including backlog ownership and refinement.
•Excellent analytical, problem-solving, and communication skills, with the ability to engage technical and non-technical audiences.
•A high degree of ownership and autonomy.
•Fluent English.
Nice to Have
•German is a plus.
•Experience with BNPL, consumer finance, or credit risk decisioning systems.
•Hands-on experience with SQL, Python, Databricks, or Power BI.
•Familiarity with fraud detection systems and rule- or ML-based decision engines.
Conditions
No conditions stated in the posting.
