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Fraud Intelligence Lead
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-10-09
Listing for:
Plaid Financial
Full Time
position Listed on 2026-10-09
Job specializations:
-
IT/Tech
Data Science Manager
Job Description & How to Apply Below
Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.
Our Fraud Intelligence team's mission is to turn fraud signals into insight that our EPD teams transform into improvements across Protect, IDV, Signal, and Guaranteed Payments. We believe transaction patterns, device signals, identity linkages, and behavioral data are dramatically under leveraged tools in fraud prevention, and we ground our products in what adversaries are actually doing right now.
As the Fraud Intelligence Lead, you will build and run a small, high-leverage team of Fraud Intelligence Analysts (and eventually a Staff Researcher) responsible for live casework across Protect, IDV, and Payments/ACH. You'll operate as a player-coach, hiring and coaching your team while staying close enough to the work to personally pick up casework and SEV response when needed.
Responsibilities Team Building & People Leadership Set the casework quality bar: define what rigorous investigation, triage, and reporting look like for the team Coach analysts on investigation technique, pattern synthesis, and translating findings into product/model input
Operating Model & Cross-PA Partnership Own coverage allocation across the Protect/IDV and Payments/ACH pods, including flexing assignments as volume shifts
Manage matrixed staffing and time allocation clearly between the Fraud PA and Payments PARepresent the Fraud Intelligence team in product and model roadmap discussions, translating casework patterns into strategic priorities
Reporting & Escalation Report team health, casework trends, and emerging risks to the Head of Fraud Own escalation paths for SEVs and incidents requiring legal, law enforcement, or regulatory involvement
Live Fraud Investigation & Reconstruction 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
Product & Model Partnership 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
Ecosystem Monitoring & Knowledge Leadership 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
Qualifications5+ years of applied fraud experience in a high-velocity environment (fintech, consumer payments, banking, SaaS, marketplace risk, or security…
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