Senior Fraud and Abuse Operations Analyst

Plaid Plaid · Fintech · San Francisco, CA · All Departments

Plaid is seeking a Senior Fraud and Abuse Operations Analyst to be the first line of defense against fraud and abuse on their platform. This role involves responding to incidents, investigating claims, triaging events, and partnering with product and engineering teams to improve fraud mitigation strategies. The analyst will conduct thorough investigations, perform threat modeling, manage high-priority incidents, and provide operational insights to product teams. Requirements include experience in fraud/abuse operations, incident response, deep knowledge of fraud typologies and TTPs, dark web investigation skills, data analysis (SQL), and operational maturity. Familiarity with ML models for fraud detection and AI agents is a plus.

What you'd actually do

  1. Support the abuse on-call rotation, directly protecting our users and customers by swiftly and effectively responding to and resolving fraud and abuse events.
  2. Conduct thorough investigations into fraud and abuse claims from diverse sources.
  3. Triage and manage high-priority fraud and abuse events as internal incidents (SEVs), collaborating across teams to drive resolution.
  4. Act as the key operational partner to Consumer Risk and other product teams, providing vital insights and expertise.

Skills

Required

  • fraud/abuse operations
  • trust & safety
  • incident response
  • triage fraud or related incidents
  • managing escalations
  • trade-off decisions
  • coordination and communication with Legal, Compliance, Comms
  • balancing fraud mitigation vs. conversion
  • fraud typologies (account takeover, payments fraud, ACH fraud, chargebacks, kiting, rewards harvesting)
  • tactics, techniques, and procedures (TTPs) of bad actors
  • mitigation strategies
  • dark and grey-web navigation
  • assess source credibility
  • translate external intelligence into actionable insights
  • translate fraud investigations and research into actionable detection signals, rules, and labeled datasets
  • partnering with DS/ML and product teams
  • develop and maintain threat models
  • data analysis skills
  • SQL
  • identify anomalies and fraudulent patterns in logs and other data sets
  • operational depth and maturity
  • Exceptional written and verbal communication skills

Nice to have

  • Familiarity with machine learning models for fraud detection.
  • Fraud domain certifications (e.g., CFE/fraud examination background).
  • Exposure to production ML model lifecycles and metrics for drift/decay.
  • Effective use of AI and AI agents to accelerate investigations and research

What the JD emphasized

  • 5+ years of experience in fraud/abuse operations, trust & safety, and/or incident response
  • Experience triaging fraud or related incidents, with tight containment deadlines.
  • Deep knowledge about fraud typologies
  • Deep context about the tactics, techniques, and procedures (TTPs) used by bad actors
  • Dark and grey-web navigation and investigation experience
  • Strong SQL skills for querying data sets and quickly building reports.
  • Experience maturing an operational control that is resilient.