Staff Detection Engineer

Overview Join to apply for the Staff Detection Engineer role at Airwallex . Airwallex is the only unified payments and financial platform for global businesses. We empower over 150,000 businesses worldwide with solutions to manage accounts, payments, spend, treasury, and embedded finance at a global scale. What You’ll Do Design, develop, and maintain advanced detection rules and automated response mechanisms to surface insider and fraud risk, using behavioral analytics, anomaly detection, and rule-based logic. Deep-dive into user, system, and financial data to uncover complex fraud tactics and potential abuse by insiders or privileged users. Contribute insight into evolving fraud trends and trusted insider behaviors, strengthening Airwallex’s proactive security stance through continuous learning and agile solutioning. Mentor peers on advanced detection strategies, fraud taxonomy development, and the broader fraud/insider threat lifecycle, fostering technical depth on the team. Responsibilities Lead the creation and tuning of high-efficacy detection signatures and analytics across SIEM, EDR, DLP, and payment monitoring platforms, focusing on both technical threats and nuanced abuse scenarios. Support incident response and digital forensics efforts. Identify and mitigate risks such as account misuse, privilege escalation, and social engineering within the organization. Collaborate with fraud analysts, KYC operations, compliance, and the broader security team to improve high-risk workflows (onboarding, KYC, authentication, funds movement). Create, maintain, and operationalize detection logic for insider and fraud scenarios. Share domain best practices in threat modeling and detection with the engineering team, actively supporting others’ development in fraud and insider risk domains. Who You Are Intellectually curious about insider threat frameworks, fraud prevention, psychology of trust abuse, and organizational risk. Adept at navigating ambiguity, seeking new data sources, and synthesizing signals across disparate platforms and logs. Proactive in identifying abuse patterns, hypothesizing how attackers might operate within a complex ecosystem, and testing theories through technical proof. Articulate when presenting complex scenarios to stakeholders and skilled at collaborating across business, security, compliance, and engineering functions. Minimum Qualifications Bachelor’s degree in Computer Science, Information Security, or a relevant field. 7+ years of hands-on experience in security engineering or detection engineering, with a focus on insider threat or fraud risk (preferably in financial or high-growth technology settings). Direct experience building, tuning, and operating detection and monitoring solutions (e.g. SIEM, EDR, DLP, user behavior analytics, and fraud detection platforms). Expertise designing and implementing DLP controls and correlating exfiltration techniques with insider scenarios. Working knowledge of modern cloud-native architectures and how they impact identity, access, and monitoring. Experience coordinating incident response and digital forensics. Preferred Qualifications Experience within Fintech, payment, or regulated environments handling substantial fraud or insider risk volumes. Strong background in digital forensics, transaction analysis, and linking forensic evidence to potential business impact. Equal Opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and consider all applicants on merit, qualifications, competence and talent. We do not discriminate based on color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you require accommodation, please let us know. #J-18808-Ljbffr