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Fraud Intelligence Analyst

Plaid· Product
Apply on company site
San Francisco, CA$162k - $243.6kFull-timePosted 2mo ago

About the role

We evaluate what to pursue, craft strategies to maximize impact, and help teams deliver market success. Plaid builds tools for developers to connect financial accounts and detect fraud at scale through live investigation, data science, and product innovation.

Responsibilities

  • Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces
  • Provide support to day-to-day fraud operations including SEVs and alert triage
  • Reconstruct attacker sequences and hypothesize actor intent and tooling
  • Distill patterns from noisy signals into clear narratives and actionable insights
  • Bridge investigation outcomes to product and model improvements
  • Operate across Plaid's fraud tooling — dashboards, alerting systems, network signals, and analytics platforms — to detect and validate anomalies
  • Stress-test existing capabilities, identify systemic gaps, and define new detection primitives
  • Proactively identify gaps in internal fraud tooling and automation, driving enhancements to improve efficiency and scale
  • Collaborate with Data Science, ML/AI, and Product teams to improve labeling, feature sets, evaluation frameworks, and model decay monitoring
  • Surface data quality limitations and systematically formalize missing features
  • Translate exploratory research into reusable feature pipelines, model inputs, or rule augmentations
  • Participate in product discovery, roadmap planning, and post-launch evaluation to ensure fraud-awareness by design
  • Conduct longitudinal and structural analysis of how fraud types manifest in Plaid network data — entity linkages, temporal patterns, attack rotations, tool chains
  • Experiment with network/graph analysis, sequence mining, anomaly detection, and custom heuristics where off-the-shelf approaches fail
  • Continuously survey external fraud trends, adversary techniques, tooling, and emerging threat vectors
  • Proactively perform threat modeling of abuse surfaces and initiate research proposals when patterns emerge
  • Produce clear, evidence-backed technical reports and case studies for product, engineering, operations, legal, and executive stakeholders
  • Document investigation workflows, attack classifications, and proof-of-concept detection logic
  • Drive post-incident learning by capturing lessons from fraud incidents and feeding them back into defenses

Qualifications

  • 5+ years of applied fraud experience in a high-velocity environment (fintech, consumer payments, banking, SaaS, marketplace risk, or security research)
  • Investigator mindset: pattern synthesis, hypothesis testing, and skilled triage between signal and noise
  • End-to-end investigation experience reconstructing attacker intent and behavior in multi-step attack sequences across accounts, devices, and identities
  • Post-containment incident response experience with a deep emphasis on post-mortems and root cause analysis
  • Dark and grey-web navigation and investigation experience; ability to assess source credibility and translate external intelligence into actionable insights
  • Strong communication: ability to explain complex, ambiguous behavior to technical and non-technical audiences
  • Tool fluency with data environments and investigative toolchains (BI tools, anomaly detection, case trackers)

Skills

Required:Fraud investigationData interpretation & storytellingCommunicationTooling & data environments

Benefits

  • Medical, dental, vision coverage
  • 401(k) with employer match
  • Paid time off and holidays
  • Disability and life insurance
  • Comprehensive benefit plan including per the description
  • Reasonable accommodations available during recruiting
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Plaid

Enabling all companies to build fintech solutions

Plaid helps all companies build fintech solutions by making it easy, safe and reliable for people to connect their financial data to apps and services.

fintechbankingpaymentsfraudcreditopen financefinancial data
Company profileWebsite

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