Technical Architect for Fraud Prevention - Payment

Technical Architect for Fraud Prevention - Payment

Responsibilities:

• Implement AI/ML models and real-time analytics to detect and prevent fraudulent activities efficiently.
• Identify and address current system vulnerabilities and fraud-related challenges, ensuring immediate resolutions while planning for long-term improvements.
• Architect and design scalable, high-performance fraud prevention and risk management systems.
• Collaborate with cross-functional teams, including engineering, risk, security, and data science, to define system requirements and ensure seamless integration.
• Oversee the development, evolution, and modernization of fraud detection and risk mitigation solutions.
• Ensure compliance with industry regulations, security standards, and best practices for fraud prevention and risk management.
• Drive continuous improvement in fraud detection capabilities by incorporating emerging technologies and refining detection algorithms.
• Provide technical leadership and mentorship to engineers and other stakeholders involved in fraud detection and risk management initiatives.
• Define and document system architecture, design patterns, and best practices for fraud prevention platforms.
• Collaborate with product managers to align fraud prevention strategies with business objectives.

Profile:

• 10+ years of experience in software architecture, with a focus on fraud prevention, risk management, or security systems.
• Strong expertise in scalable system design, distributed systems, and microservices architecture.
• Hands-on experience with AI/ML-based fraud detection techniques and real-time risk assessment models.
• Deep understanding of risk scoring models, anomaly detection, and behavioral analytics.
• Strong knowledge of cloud technologies (AWS, GCP, or Azure) and big data processing frameworks (Kafka, Spark, Flink, etc.).
• Experience with real-time data streaming, rule-based engines, and identity verification solutions.
• Familiarity with industry regulations such as PCI-DSS, KYC, AML, and GDPR.
• Proficiency in programming languages such as Java, Python, Go, or Scala.
• Strong problem-solving skills with a security-first mindset.
• Excellent communication and leadership skills to collaborate effectively with multiple teams.

Job Offer:

• Opportunity to create cutting-edge fraud prevention measures.
• Grow risk analytics practices.

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Dyah Alya Gretiana on +62 21 2958 8817.