Fraud and identity AI jobs

What is Fraud & Identity AI?

Fraud and identity teams make decisions from adversarial, fast-changing data. They balance stopping abuse with approving legitimate customers, often under strict latency, explainability, privacy, and regulatory constraints.

What the work looks like

Typical problems include account takeover, payment fraud, identity verification, synthetic identities, abuse networks, transaction scoring, case prioritization, and continuous model monitoring as attacker behavior changes.

Skills companies look for

Teams value classification, anomaly detection, graph methods, feature platforms, streaming data, experimentation, model monitoring, SQL, Python, and experience translating risk decisions into measurable customer outcomes.

Dataaxy builds this page from active Data & AI openings at companies classified in Fraud & Identity AI. A company can belong to more than one sector, while each job keeps its own role, seniority, location, and work-mode classification.