Responsibilities:Collaborate with fraud specialists, data scientists, and risk managers to understand new fraud typologies and business challengesTranslate 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 lakesDesign & Document system integrations, mapping data flows between core banking platforms, digital channels, and our fraud enginesOwn 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 AnalystUnderstanding of relational databases with ability to run queries necessary for analytical purposeData mapping creation/analysis experience, data models understandingProven experience in the banking or payments industry, with understanding of payment flows (Cards, SWIFT, SEPA, nonmon)Domain knowledge of financial crime preventionExceptional communication skills with the ability to explain complex technical and legal concepts to diverse stakeholdersExperience working in Agile, Scrum, or SAFe environments (JIRA, Confluence)Hands-on experience with specific fraud detection systems like PEGA or Flowable OCCFamiliarity with AI-based tools supporting work of IT AnalystOffer:Hybrid work - Gdańsk - Office presence: twice a week130 - 150 PLN/h net+VAT (B2B)