Senior Fraud Prevention Specialist

• Job Title: Senior fraud prevention specialist
• Business Unit/Function: Fraud Prevention team

Reports to: Fraud Prevention Manager

• Direct no. of reports: 1
• Collaborations (work with/support): GB Local offices and other units within CSC BA, Merchants
• Location (entity code and cost center): SK11 Global Blue Slovakia s.r.o., OP060010 Ops - Security
• Job type: Fixed
• Workload: 100%
• AWM Designation (natural habit. clasif.) : Collaborator – 20-40% office presence/ week
• AWM % or days in hub office: 20

SOX Controller: NO

SOX Preparer: NO

Purpose of the role

Fraud 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 Senior Fraud Prevention Specialist is crucial within Global Blue’s fraud risk management framework. Key responsibilities include leading the development and enhancement of fraud detection methods, conducting regular and ad hoc analyses, interpreting analytical outputs, and presenting results to various stakeholders, including internal management and external business partners. The role also includes investigating fraud suspicions and making independent decisions.

Responsibilities

Identifies the major activities/responsibilities of the position and statements that clarify key areas where the position must produce key results:

Fraud Detection

• Lead the development of new fraud detection methods
• Propose innovative detection approaches by applying advanced mathematical and statistical techniques (e.g. logistic regression, random forest, clustering, velocity analysis)
• Design, test, and continuously optimize fraud detection logic
• Continuously monitor and assess the effectiveness of fraud detection methods

Analysis & Reporting

• Perform complex analyses related to fraud and compliance topics
• Design and maintain reporting templates
• Prepare and deliver fraud and compliance reports for stakeholders
• Fraud detection tool (advanced user)
• Create, change, enable/disable detection rules in the fraud detection tool
• Ability to independently investigate fraud suspicions and make decisions
• Conduct investigations of complex fraud cases or fraud suspicions detected by fraud detection tools

Additional: Division of work in percentage (please note that this is subject to change depending on business)

• Development (fraud risk mitigation via detection) - [80%]
• Reporting – [20%]

Competencies

• English - B2, very good communication skills written and spoken
• Proven 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 must
• Assertive communication with colleagues within the team and across the company as well as with business partners
• Willingness to learn
• Provide training and knowledge sharing to other colleagues
• Be cooperative and be able to accept possible changes

Skills

Excellent 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.

Ability to design and implement custom analytical procedures and algorithms.

Demonstrable experience in deep data analysis.

Python: Practical knowledge of Pandas, NumPy, SciPy, and optionally scikit‑learn.

Ability to work with large volumes of structured data and optimize computations.

Ability to explain applied methodologies, fraud detection rules, and analytical outputs to audiences without a mathematical or statistical background

Ability to work effectively in a team is crucial

VBA is an advantage

Qualifications and education requirements

Completed university degree AND 3+ years of experience in area of data analysis/science

Field of studies: mathematic/statistics