Threat Hunter
Threat Hunter on the Defense and Intelligence team responsible for proactive threat hunting, breach investigation, and improving detection coverage across cloud and corporate environments.
Fraud and Abuse Operations Lead
Leads fraud and abuse operations by responding to incidents, conducting investigations, triaging high-priority events, and partnering with product teams to enhance mitigation strategies. Requires deep fraud knowledge, SQL skills, and operational maturity.
176k – 287kSan Francisco, CANew York, NYSecurity EngineeringHybrid
About the role
Responsibilities
- Safeguard Plaid's Platform: Take ownership of the abuse on-call rotation, responding to and resolving fraud and abuse events.
- Drive Investigations and Mitigate Risks: Conduct thorough investigations into fraud and abuse claims to inform decisions and prevent future incidents.
- Lead Incident Response: Triage and manage high-priority fraud and abuse events (SEVs), collaborating across teams for resolution.
- Shape Product Strategy: Partner with Consumer Risk and product teams, providing insights to develop fraud mitigation solutions.
Requirements
- Incident response and investigations:
- Experience triaging fraud or related incidents with tight deadlines.
- Managing escalations and trade-off decisions with stakeholders.
- Coordinating with Legal, Compliance, Comms, and risk teams.
- Mental model for balancing fraud mitigation vs. conversion under pressure.
- Fraud and abuse detection and prevention:
- Deep knowledge of fraud typologies (account takeover, payments fraud, ACH fraud, chargebacks, kiting, rewards harvesting).
- Understanding of bad actor TTPs on the web and common mitigation strategies.
- Data analysis skills:
- Strong data analysis using common tools.
- Strong SQL for querying and reporting.
- Identifying anomalies in logs, transactions, and request data.
- Operational depth and maturity:
- Building and maturing operational teams in fraud, abuse, security, or incident response.
- Maturing operational controls and building resilience.
- Exceptional written and verbal communication.
Nice-to-Haves
- Deep knowledge of regulatory frameworks (AML, KYC, KYB, Reg E, BSA).
- Familiarity with machine learning models for fraud detection.
Skills
SQLFraud DetectionIncident ResponseData AnalysisInvestigationsMachine LearningAMLKycAccount TakeoverChargebacks
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