Senior Fraud and Abuse Operations Analyst

External

Plaid · San Francisco

$156K–$214K/yrFull-timeRemote1w ago

ComplianceData AnalysisIncident ResponseMachine LearningRisk ManagementSQL

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Responsibilities

Safeguard Plaid's Platform: Support the abuse on-call rotation, directly protecting our users and customers by swiftly and effectively responding to and resolving fraud and abuse events. Your timely actions will be instrumental in maintaining trust and security.
Support Incident Response: Triage and manage high-priority fraud and abuse events as internal incidents (SEVs), collaborating across teams to drive resolution. Your expertise in these situations will minimize disruption and protect Plaid's reputation.

Requirements

5+ years of experience in fraud/abuse operations, trust & safety, and/or incident response

Incident response and investigations:

Experience triaging fraud or related incidents, with tight containment deadlines.

Experience managing escalations and making informed trade-off decisions with multiple stakeholders.

Ability to coordinate and communicate effectively with internal Legal, Compliance, Comms and other risk management teams during incident triage.

A battle-tested mental model for balancing fraud mitigation vs. conversion, and the ability to calibrate and apply this mental model in the context of Plaid's business objectives under pressure.

Fraud and abuse detection and prevention context:

Deep knowledge about fraud typologies-account takeover, different types of payments fraud, ACH fraud, chargebacks, kiting, rewards harvesting, etc.

Deep context about the tactics, techniques, and procedures (TTPs) used by bad actors to commit different types of fraud on the web.

Deep context about common mitigation strategies for the same, and informed opinions about their relative pros and cons.

Fraud and abuse intelligence:

Dark and grey-web navigation and investigation experience, ability to assess source credibility, and translate external intelligence into actionable insights.

Experience translating fraud investigations and research into actionable detection signals, rules, and labeled datasets, while partnering closely with DS/ML and product teams to improve feature sets, labeling quality, evaluation frameworks, and model decay monitoring.

Experience developing and maintaining threat models for authentication and other high-risk product surfaces, with a track record of proactively identifying emerging risks.

Data analysis skills:

Strong data analysis skills using common analysis and manipulation tools.

Strong SQL skills for querying data sets and quickly building reports.

Ability to identify anomalies and fraudulent patterns in logs and other data sets (transactions data, request data, etc.).

Operational depth and maturity:

Experience maturing an operational control that is resilient.

Exceptional written and verbal communication skills.

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 rese

Senior Fraud and Abuse Operations Analyst

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