Senior Fraud Research Analyst

Plaid is a financial data network and fintech infrastructure company that helps people securely connect financial accounts to digital financial services.

Series D0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 8/29/2026

San Francisco, United States

Funding history

About Plaid Inc.

Plaid provides developer infrastructure and financial tools for account connectivity, financial data access, bank payments, identity verification, AML monitoring, credit and underwriting, and fraud prevention. Its network supports thousands of fintech companies and more than 12,000 financial institutions across the United States, Canada, the United Kingdom, and Europe.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead complex fraud investigations across identities, accounts, devices, and transactions; reconstruct attacker behavior; identify patterns and detection gaps; collaborate with data science, machine learning, and product teams; conduct applied fraud research; and produce technical reports and case studies.

Requirements

  • 3+ years of applied fraud experience
  • Experience reconstructing multi-step attacks across accounts, devices, and identities
  • Post-containment incident response and root cause analysis experience
  • Dark-web and grey-web investigation experience
  • Strong communication skills
  • Experience with data environments and investigative toolchains
  • SQL
  • Python
  • Graph or network analysis experience
  • Familiarity with rule engines, signal gating, and monitoring systems

Responsibilities

  • Lead investigations into complex fraud cases
  • Support fraud operations, SEVs, and alert triage
  • Reconstruct attacker sequences and hypothesize actor intent and tooling
  • Distill noisy signals into actionable insights
  • Identify gaps in fraud tooling and automation
  • Collaborate with data science, ML, and product teams on labels, features, and models
  • Conduct longitudinal and structural fraud analysis
  • Monitor external fraud trends and adversary techniques
  • Produce technical reports and case studies
  • Document investigation workflows and detection logic

Benefits

  • Equity
  • Commission
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k)