Fraud Intelligence Lead

Skills

About the Role

You will build and lead a high-leverage team of Fraud Intelligence Analysts, set investigation and reporting standards, coach analysts, allocate coverage across fraud and payments pods, and represent the team in product and model planning. You will lead complex fraud investigations, support incident response and alert triage, reconstruct attacker behavior, identify actionable patterns, and translate findings into product, model, feature, rule, and labeling improvements. You will report emerging risks, manage escalations involving legal or regulatory parties, monitor external fraud trends, conduct threat modeling, and collaborate with Data Science, ML/AI, Product, and Payments teams.

Requirements

• 5+ years of applied fraud experience in a high-velocity environment
• Pattern synthesis, hypothesis testing, and fraud triage
• End-to-end investigation experience across accounts, devices, and identities
• Post-containment incident response, post-mortems, and root cause analysis
• Dark-web and grey-web investigation experience
• Ability to assess source credibility and translate intelligence into actionable insights
• Strong communication with technical and non-technical audiences
• Fluency with BI tools, anomaly detection tools, and case trackers
• SQL for deep data querying and exploratory analysis
• Python for scripting, prototyping, and analytical workflows
• Graph or network analysis experience preferred
• Familiarity with rule engines, signal gating, and large-scale monitoring systems preferred
• Experience applying AI tools and agents to investigations preferred
• Ability to translate fraud research into signals, rules, or labeled datasets preferred
• Fraud domain certification such as CFE is a plus
• Experience with consumer identity, payments, or risk platform development is a plus
• Exposure to production ML model lifecycles and drift or decay metrics is a plus
• Experience improving fraud tooling, automation, or case management systems is a plus

Responsibilities

• Set the casework quality bar for investigation, triage, and reporting
• Coach analysts on investigation technique, pattern synthesis, and product or model input
• Allocate coverage across Protect, IDV, and Payments or ACH pods
• Manage matrixed staffing and time allocation between the Fraud PA and Payments PA
• Represent Fraud Intelligence in product and model roadmap discussions
• 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
• Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces
• Support day-to-day fraud operations, SEVs, and alert triage
• Reconstruct attacker sequences and hypothesize actor intent and tooling
• Distill noisy signals into clear narratives and actionable insights
• Translate investigation outcomes into product and model improvements
• Collaborate with Data Science, ML/AI, and Product teams on labeling, features, evaluation frameworks, and model decay monitoring
• Surface data quality limitations and formalize missing features
• Translate exploratory research into feature pipelines, model inputs, or rule augmentations
• Participate in product discovery, roadmap planning, and post-launch evaluation
• Monitor external fraud trends, adversary techniques, tooling, and emerging threat vectors
• Perform threat modeling of abuse surfaces and initiate research proposals

Benefits

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