We are looking for a Senior IT Analyst to be the critical link between our fraud-fighting business units and our development teams. You will be responsible for translating complex business needs into precise technical requirements for our real-time, cloud-native fraud detection and prevention platforms.

You wont just write tickets—you will be a "front-line defender" who investigates new fraud patterns, designs system logic, and ensures our solutions are robust, compliant, and effective.

Office presence: twice a week

IT Analyst Senior with Swedish language and some PEGA experience

Your 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).

Our 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.