Job Title: Fraud Prevention SpecialistBusiness Unit/Function: Fraud Prevention teamReports to: Fraud Prevention ManagerDirect no. of reports: 1Collaborations (work with/support): GB Local offices and other units within CSC BA, MerchantsLocation (entity code and cost center): Bratislava - Slovakia, SK11 Global Blue Slovakia s.r.o., OP060010 Ops - SecurityJob type: PermanentWorkload: Full-Time, 100%AWM Designation (natural habit. clasif.) : Collaborator – 20-40% office presence/ weekAWM % or days in hub office: 20%SOX Controller: NOSOX Preparer: NOPurpose of the roleFraud risk management in Tax Free Shopping (TFS) is built on data‑driven detection. With tens of millions of transactions per year, TFS requires a fraud detection solution based on robust data analytics. TFS must also respond to emerging trends related to AI.The role of the Fraud Prevention Specialist is crucial within Global Blue’s fraud risk management framework. Key responsibilities include business ownership of the fraud detection solution, development of fraud detection tools, participation in the development and enhancement of fraud detection methods, preparation of various types of reports, and conducting regular as well as ad hoc analyses.ResponsibilitiesIdentifies the major activities/responsibilities of the position and statements that clarify key areas where the position must produce key results:Product owner of the Fraud Detection ToolDevelopment of the fraud detection tool based on users’ requestsUnderstand new requests, analyze them from a business point of view, and drive required changes with the tool vendor.Technical development of fraud detection rulesIndependently create detection rules using SQL and Python.Monitoring the tool’s effectiveness and performanceAbility to identify and diagnose technical issues related to the tool.The new colleague must be able to:Create, change, enable/disable detection rules in the fraud detection tool and manage all related changes.Conduct training for other users on how to use the tool.Serve as the primary contact person for the tool vendor.Fraud DetectionDevelop new fraud detection methods. Ability to propose new approaches by applying knowledge of mathematics and statistics.Analysis & ReportingPerform various analyses related to fraud and compliance topicsBuild various reports based on analytical outputs or requests from other stakeholdersInvestigation & decision makingAbility to conduct independent investigation of fraud suspicions and make decisionsAdditional: Division of work in percentage (please note that this is subject to change depending on business):Development (fraud detection tool) - [20%]Development (fraud risk mitigation via detection) - [60%]Reporting – [20%]CompetenciesEnglish - B2, very good communication skills written and spokenProven experience in data analysis (a technical assignment will be part of the selection process).Strong logical and mathematical thinking.A background in mathematics or statistics is mustAssertive communicationWillingness to learnBe cooperative and be able to accept possible changesSkillsExcellent knowledge of SQL (SELECT, JOIN, GROUP BY, HAVING, window functions, subqueries etc.). Solid understanding of relational database structures — tables, relationships, primary and foreign keys.Proficiency in Python or R with a focus on analytical data processing.Demonstrable experience in deep data analysis (academic projects are also acceptable)Python: Practical knowledge of Pandas, NumPy, SciPy, and optionally scikit‑learn.Ability to work with large volumes of structured data and optimize computations.VBA is an advantageExperience with “tracking” solutions (e.g. Jira) is an advantageQualifications and education requirementsCompleted university degreeField of studies: mathematics/statistics OR informatics
