Fraud Management ART

4 dni temu


Gdańsk, Pomerania, Polska B2B Network Pełny etat

Location: Gdańsk
Office presence: twice a week

Detailed description of work task to be carried out

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 won't 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.

What You'll Do

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).

Must-have knowledge and experience

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 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 stakeholders.Experience working in Agile, Scrum, or SAFe environments (JIRA, Confluence).

Nice-to-have knowledge and experience

Hands-on experience with specific fraud detection systems like PEGA or Flowable OCCFamiliarity with AI-based tools supporting work of IT Analyst
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