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Job Summary:

We are seeking an experienced Fraud Management System Support Analyst with over 5+ years of expertise in implementing and supporting enterprise-scale digital fraud prevention systems preferably with Clari5 Fraud Management system. The ideal candidate will manage the end-to-end implementation and support of Fraud Management System operating in prevention mode, with a strong focus on behavioral biometrics, real-time fraud detection, and digital channel protection. This role requires hands-on experience across solution configuration, integration, testing, deployment, and post-implementation optimization.

Key Responsibilities:

• Lead the end-to-end implementation of Enterprise Fraud Management Systems, covering solution design, configuration, system integration, testing, deployment, and production rollout.
• Design and implement real-time fraud prevention frameworks, including rule engines, decisioning workflows, transaction monitoring across digital banking channels.
• Drive the integration and optimization of behavioral biometrics and device intelligence solutions or equivalent platforms to strengthen fraud prevention and detection capabilities.
• Collaborate with Fraud Risk, Fraud Analytics, Investigations, Digital Banking, IT, Architecture, Infrastructure, and Project Management teams to ensure successful solution delivery and alignment with business objectives.
• Configure and fine-tune fraud detection rules, scoring models, and decision strategies to improve fraud detection rates while minimizing false positives.
• Support solution testing, user acceptance testing (UAT), production validation, and post-implementation monitoring to ensure system stability and effectiveness.
• Analyze fraud trends, customer behavior, and transaction data to continuously optimize fraud prevention strategies using AI driven insights.
• Ensure adherence to regulatory requirements, information security standards, and industry best practices in fraud risk management.

Required Qualifications & Experience:

• Bachelor’s degree in computer science, Information Technology, Engineering, Cybersecurity, or a related discipline. A master’s degree is an advantage.
• Minimum 5 years of experience in fraud management, fraud technology implementation, or digital fraud prevention within the banking or financial services sector. Experience using Clari5 Fraud Management system is strongly desired.
• Proven experience delivering end-to-end implementations and support of enterprise Fraud Management Systems.
• Hands-on experience with behavioral biometrics and digital identity solutions or fraud prevention platforms.
• Strong knowledge of real-time fraud detection, fraud decisioning, transaction monitoring, risk scoring, device fingerprinting, and user behavior analytics.
• Experience with solution configuration, system integration, testing, production deployment and support.
• Strong analytical and data interpretation skills with the ability to optimize fraud detection models and business rules.
• Experience working with APIs, system integrations, enterprise applications, and digital banking platforms.
• Excellent stakeholder management, communication, and project coordination skills.
• Experience working in Agile and enterprise transformation environments is preferred.

Skills: Fraud Management Systems , Behavioral Biometrics , Real-Time Fraud Detection