Responsibilities: Collaborate with fraud specialists, data scientists, and risk managers to understand new fraud typologies and business challenges Translate complex business rules and legal requirements (GDPR, PSD3) into clear, unambiguous User Stories, functional specifications, and process flows (BPMN/UML) Analyze data and systems tracing transaction flows, validate hypotheses, and identify data gaps across our on-premise and cloud data lakes Design & Document system integrations, mapping data flows between core banking platforms, digital channels, and our fraud engines Own the solution definition, support developers and testers during sprints, and act as the subject matter expert during Agile/SAFe ceremonies (Backlog Grooming, PI Planning) Requirements: Experience as an IT Analyst, Technical Business Analyst, or Systems Analyst Understanding of relational databases with ability to run queries necessary for analytical purpose Data mapping creation/analysis experience, data models understanding Proven experience in the banking or payments industry, with understanding of payment flows (Cards, SWIFT, SEPA, nonmon) Domain knowledge of financial crime prevention Exceptional communication skills with the ability to explain complex technical and legal concepts to diverse stakeholders Experience working in Agile, Scrum, or SAFe environments (JIRA, Confluence) Hands-on experience with specific fraud detection systems like PEGA or Flowable OCC Familiarity with AI-based tools supporting work of IT Analyst Offer: Hybrid work - Gdańsk - Office presence: twice a week 130 - 150 PLN/h net+VAT (B2B)