Technical Architect for Fraud Prevention
1 week ago
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.
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