- Location
- HUN - Budapest - Budapest, Hungary
- Type
- Full-time
- Seniority
- Senior
- Experience
- 5+ years
- Source
- Workday
Description
Role Summary
Lead the analysis of payment and fraud data, including owning the performance, tuning, and optimization of the fraud detection systems and tools used across the organization. Acts as a subject matter expert on fraud typologies and detection technology, driving continuous improvement of business strategies to reduce losses and grow revenue. Develop and maintain strong relationships with key stakeholders, internal departments, and vendors.
Key Responsibilities:
Extract, clean, and analyze daily/periodic transaction level report to monitor authorization rates, bank decline reasons, chargeback trends, and fraud scoring
Prepare ad hoc materials on any data points such as AVS/CVV outcomes, fraud rule performance and profile effectiveness (e.g., Pay Now vs Pay Later, eCommerce, Call Center channels)
Deliver clear business narratives and recommendations to non-technical stakeholders
Support the evaluation of new tools or prevention layers, including implementation
Collaborate with partners across internal and external teams to control fraud losses
Resolve active cases by investigating flagged transactions
Identify and implement automation and system enhancements
Ensure all transaction data is handled in a compliant manner with ABG data classification, PCI-DSS and information security policies
Produce leadership reporting to demonstrate trends and identify process improvements
What we are looking for:
5+ years of experience in payment and/or fraud analytics, or e-commerce risk, preferably in travel, mobility, retail, or e-commerce
Fluent English – both oral and written
Preferred experience with common industry tools such as payment gateways (Cybersource) and third-party fraud prevention/decisioning platforms (Decision Manager, Signifyd)
Solid understanding of card-scheme authorization flows, decline reason coding, AVS/CVV results, and the chargeback lifecycle
Advanced with Excel or other data-handling tools (Power BI, Tableau)
Proficient in analyzing large volume data to draw actionable conclusions, and communicate to non-financial stakeholders
Rigorous approach to data handling and confidentiality, in line with PCI/PII requirements
Ability to work independently and manage multiple tasks simultaneously, as well as communicate across all levels of organization
Demonstrated history of driving continuous improvement and solving problems
Must be comfortable working in a global, matrixed organization across North America, European, and Asis Pacific time zones
What we offer:
Cafeteria benefits, including SZÉP Card, health fund options, and language courses.
Medical insurance: Medicare
Performance bonuses based on your annual gross salary.
Access to an employee discount program at various hotels, gyms, restaurants, and more.
Opportunities to grow through our internal learning portfolio and recognition programs.
An extra day off to celebrate your birthday.
A vibrant, multinational environment with over 30 nationalities working together at the greenest office in Budapest, the Green House Building.
Avis Budget Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.