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.
Linked-in
Google