• Analyse internal data sources (alerts, chargebacks, disputes, anomaly reports, ML models) and external trends (card schemes, partners, law enforcement, industry intelligence) to identify emerging fraud risks related to acquiring business. • Translate observed patterns into well-defined acquiring fraud scenarios, covering areas such as Card-Present and Card-not-present fraud, friendly fraud and dispute abuse, merchant fraud, transaction laundering, enumeration and testing attacks. • Maintain and continuously enrich the Acquiring Fraud Typology Library, aligned with scheme rules, regulatory expectations, and Finom’s risk appetite. • Work closely with the Fraud Risk Manager, product, engineering, and ML teams to ensure correct translation of acquiring fraud scenarios into rules, thresholds and controls as well as machine-learning features and signals. • Participate in back-testing, validation, and tuning of acquiring fraud controls prior to production release. • Monitor performance metrics (fraud rate, chargeback ratio, false positives, merchant friction) and propose optimisation actions. • Act as a Second Line challenger, providing independent oversight of acquiring fraud risk decisions taken in the First Line. • Support scheme-related topics such as Visa / Mastercard monitoring programs, dispute ratios, and remediation actions. • Establish proper stakeholder management with product teams, risk management, quality assurance and operations teams. • Develop training materials and guidance for acquiring fraud analysts, dispute teams, and QA. • Assist in drafting and reviewing system requirements, procedures, and internal policies related to acquiring fraud prevention. • Actively participate in process improvement initiatives and ad-hoc projects within the Financial Crime Risk Management function. • Perform other duties as reasonably required to support the operational efficiency and fraud loss prevention of Finom.