Fraud Intelligence Analyst

What you'll do

• Lead investigations into complex fraud cases involving identities, accounts, devices, and transaction surfaces.
• Reconstruct attacker sequences to identify intent, tooling, and patterns from noisy data signals.
• Translate investigation findings into actionable improvements for product features and machine learning models.
• Identify gaps in internal fraud tools and define new detection primitives to improve system scale.
• Conduct longitudinal research on fraud types using network analysis, sequence mining, and custom heuristics.
• Monitor external fraud trends and perform threat modeling of abuse surfaces to initiate research proposals.
• Produce technical reports and case studies for stakeholders to document investigation workflows and attack logic.

What we're looking for

• 3+ years of applied fraud experience in a high-velocity environment such as fintech, banking, or security research.
• Experience reconstructing attacker intent and behavior in multi-step attack sequences across accounts, devices, and identities.
• Post-containment incident response experience with an emphasis on post-mortems and root cause analysis.
• Dark and grey-web navigation and investigation experience to translate external intelligence into actionable insights.
• Ability to communicate complex, ambiguous behaviors to both technical and non-technical audiences.
• Proficiency with data environments and investigative toolchains including BI tools and anomaly detection systems.
• SQL for deep data querying and exploratory analysis (preferred).
• Python for scripting, rapid prototyping, and analytical workflows (preferred).