About the role
Build identity verification and fraud detection systems to scrutinize candidate data during application. Develop correlation engines matching candidate details against known indicators of fraud. Create high-availability pipelines for signals from ATS, identity providers, and external risk intelligence. Ship automated guardrails for real-time flagging of high-risk candidates. Drive rapid iteration and collaborate across security, platform, and data teams.
Requirements
Minimum 2+ years building software applications. Experience productionizing large-scale data-intensive systems. High velocity and creativity in fraud detection challenges. Experience with AI-native development workflows. Strong debugging skills. Ability to translate complex security requirements into software. Independent problem-solving. BS in CS/SE/IS or related field. Preferred: Experience with Go, Python, fraud detection, cybersecurity, and machine learning.
About the company
Abnormal
Abnormal Security provides a behavioral security platform designed for the AI era, focusing on protecting organizations from advanced cyber threats. Their AI-powered solutions offer comprehensive security for email, identity, and application posture management, enabling automated detection and response to stop attacks that other solutions miss.
View company page →More from Abnormal
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