Software Engineer (Insider Risk)

Join Abnormal's Identity Security team as a Software Engineer, where you will build groundbreaking products to detect and prevent fraudulent employee identities. You will develop identity verification and fraud detection systems, create high-availability pipelines, and drive 0→1 iteration. Collaborate across security, platform, and data teams, and enjoy benefits such as healthcare, flexible PTO, and a home office stipend.

• Construire des systèmes de vérification d'identité et de détection de fraude pour examiner les données des candidats.
• Développer des moteurs de corrélation sophistiqués qui associent les détails des candidats à des indicateurs connus d'activité frauduleuse.
• Collaborer avec les équipes de sécurité, de plateforme et de données pour écrire et examiner des conceptions techniques.

• High velocity and creativity in solving technical challenges related to fraud detection and pattern matching
• Ability to translate complex security and business requirements into high-quality software
• Ability to independently solve complex problems and work cross-functionally
• BS in CS/SE/IS or a related field
• Experience & desire to adopt & improve AI-native development workflows
• Strong debugging skills with logs, metrics, and behavioral signals
• 2+ years building software applications
• Experience productionizing large-scale, data-intensive systems
• Experience with big data, statistics, and ML for identity/behavioral risk modeling and anomaly detection
• Background in cybersecurity, specifically focused on insider threats or nation-state actor TTPs (Tactics, Techniques, and Procedures)
• Experience with Go and Python
• Experience in fraud detection, identity verification, or anti-money laundering (AML) systems