Staff Detection Engineer

Overview
Join to apply for theStaff Detection Engineerrole atAirwallex.
Airwallex is the only unified payments and financial platform for global businesses.
We empower over 150,000 businesses worldwide with integrated solutions to manage accounts, payments, spend management, treasury, and embedded finance at a global scale.
Proudly founded in Melbourne, we have a global team and a strong investor-backed trajectory.
What You'll Do
As a Staff Detection Engineer focused on insider and fraud threats within the Information Security Engineering team, you will be pivotal in protecting Airwallex's payments ecosystem and our customers.
Your mandate centers on identifying, investigating, and challenging threats from internal and external actors.
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 insider behaviors, strengthening Airwallex's proactive security stance through continuous learning and agile solutioning.
Mentor peers on advanced detection strategies and the insider threat lifecycle, fostering technical depth on the team.
Responsibilities
Lead the creation and tuning of detection signatures and analytics across SIEM, EDR, DLP, and payment monitoring platforms, focusing on 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, supporting others' development in fraud and insider risk domains.
Who You Are
Proven passion for detecting and responding to sophisticated fraud and insider threats in a Fintech or technology-driven environment.
Outcome-driven, with ability to blend technical acumen with creative threat modeling.
Intellectually curious about insider threat frameworks, fraud prevention, and organizational risk.
Adept at navigating ambiguity, sourcing new data, and synthesizing signals across platforms and logs.
Proactive in identifying abuse patterns and testing theories through technical proof.
Articulate when presenting complex scenarios to stakeholders and capable of cross-functional collaboration.
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 (ideally in financial or high-growth tech settings).
Experience building, tuning, and operating detection and monitoring solutions (e.g., SIEM, EDR, DLP, user behavior analytics, fraud detection platforms).
Experience 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 in Fintech, payments, or regulated environments handling substantial fraud or insider risk volumes.
Strong background in digital forensics, transaction analysis, and linking forensic evidence to business impact.
Equal Opportunity
Airwallex is an equal opportunity employer.
We value diversity and hire based on merit, qualifications, competence and talent.
We do not discriminate based on protected statuses.
If you require accommodations, please let us know.
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