Tasks

• You analyze professional and technical processes and translate them into actionable solutions for developers and AI teams.
• You will accompany implementation projects from requirements analysis and testing to productive launch and independently conduct workshops.
• You structure requirements, data flows and interfaces and support the integration of new services into a cloud-based fraud management platform.
• After implementation, you prepare data from different sources, check its quality, interpret it, and derive reliable insights for various units.
• You analyze large and complex datasets to identify fraud patterns, anomalies, and optimization potential in cloud-based fraud detection.
• You will develop data-driven fraud use cases, KPIs, and monitoring approaches.
• supports the optimization of rule sets, scoring approaches and AI/machine learning models.

profile

• You have completed a degree in computer science, statistics, mathematics, economics or a comparable quantitative degree program or qualification with a focus on data.
• You have several years of experience in business process analysis as well as the analysis, preparation, derivation of recommendations for action and presentation of complex data - ideally in the financial, fraud or credit card sector.
• You are experienced in translating technical requirements into technical solutions, data flows and data models, as well as in communicating complex issues in an understandable way.
• You are very familiar with SQL, Python, BI tools, Jira, Confluence, and have a good understanding of cloud-based data architectures, data pipelines, and cross-system data flows.
• Ideally, you have experience with event streams, Kafka, APIs and real-time processing, as well as a good understanding of data-driven fraud detection, scoring logics, rule sets or machine learning approaches.
• You are characterized by analytical thinking, initiative, resilience, strong communication skills and an interest in complex topics, and you speak and write German and English at a C1 level.