Senior Fraud Research Analyst
Core
Lead complex fraud investigations, reconstruct attacker sequences, and translate findings into detection improvements for Plaid's financial network.
Role type
Senior Fraud Researcher (Applied Data Science & Investigation)
Builds
Plaid's fraud detection products (Protect, Signal) and model inputs
Domain
Fintech, Financial Services, Fraud Prevention
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Fraud investigation, pattern synthesis, hypothesis testing, incident response, dark/grey-web navigation, data environment fluency, technical reporting
Preferred skills
SQL, Python, graph/network analysis, rule engines, AI tools for investigation
Technologies
BI tools, anomaly detection platforms, case trackers, network signals, analytics platforms
Responsibilities
Lead complex fraud case investigations across identities and devices; Reconstruct attacker sequences and hypothesize intent; Operate fraud tooling to detect anomalies and stress-test capabilities; Collaborate with Data Science/ML teams to improve labeling and feature sets; Conduct longitudinal analysis of fraud types in network data; Monitor external fraud trends and perform threat modeling; Produce technical reports and case studies for stakeholders
Seniority
Senior, hands-on IC with strategic impact