Fraud Data Analyst — Data-Driven Fraud Prevention & Insights

Allied Irish Banks; Dublin; Híbrido; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Variable Pay

Employee Assistance Programme

Family leave options

Descripción de la vacante

Allied Irish Banks (AIB) seeks a Fraud Data Analyst to support and enhance payment fraud decisioning. You will focus on prevention, detection and control optimisation across payment fraud use cases, including transaction monitoring and model/rule enhancements.

Bring strong data analysis with SQL and Python and collaborate across fraud operations, compliance, risk, technology and data teams to implement robust detection solutions and drive continuous improvement.

Formación

• 5–8 years’ experience in fraud or risk analytics in financial services.
• Strong SQL and Python experience.
• Experience with fraud detection platforms such as Featurespace.
• Ability to work in fast-paced delivery environments with multiple dependencies.
• Excellent stakeholder management across fraud, operations and related functions.

Responsabilidades

• Gather, analyse and document fraud-related requirements for detection initiatives.
• Review and enhance payment anomaly detection and rules.
• Analyse trends and root causes in payment fraud use cases.
• Design KPIs and reporting for fraud operations.
• Collaborate with cross-functional teams to implement detection solutions.
• Contribute to threshold optimisation and control improvements.

Conocimientos

SQL

Python

Data analysis

Stakeholder management

Communication

Fraud domain knowledge

Fraud detection platforms

Herramientas

Featurespace

Descripción del empleo

Allied Irish Banks (AIB) seeks a Fraud Data Analyst to support and enhance payment fraud decisioning. You will focus on prevention, detection and control optimisation across payment fraud use cases, including transaction monitoring and model/rule enhancements.

Bring strong data analysis with SQL and Python and collaborate across fraud operations, compliance, risk, technology and data teams to implement robust detection solutions and drive continuous improvement.