Fraud Intelligence Analyst

The role

You will lead complex fraud investigations and translate findings into detection improvements. You will collaborate with Data Science, ML, and Product teams to shape fraud capabilities using Plaid's financial network data.

What you will do

• 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 to detect and validate anomalies
• Stress-test existing capabilities and identify systemic gaps
• Collaborate with Data Science, ML/AI, and Product teams to improve labeling and feature sets
• Conduct longitudinal and structural analysis of how fraud types manifest in Plaid network data
• Produce technical reports and case studies for stakeholders

Required qualifications

• 5+ years of applied fraud experience in a high-velocity environment
• Investigator mindset: pattern synthesis, hypothesis testing, and skilled triage
• End-to-end investigation experience reconstructing attacker intent and behavior
• Post-containment incident response experience with emphasis on post-mortems and root cause analysis
• Dark and grey-web navigation and investigation experience
• Strong communication to explain complex behavior to technical and non-technical audiences
• Tool fluency with data environments and investigative toolchains

Nice to have

• SQL for deep data querying and exploratory analysis
• Python for scripting, rapid prototyping, and analytical workflows
• Graph/network analysis experience
• Familiarity with rule engines, signal gating, and large-scale monitoring systems
• Experience applying AI tools and agents to accelerate investigations and research workflows
• Ability to translate fraud research into actionable signals, rules, or labeled datasets
• Fraud domain certifications (e.g., CFE)
• Prior work on consumer identity, payments, or risk platform development
• Exposure to production ML model lifecycles and metrics for drift/decay
• Experience improving internal fraud tooling, automation, or case management systems

Benefits

• Medical
• Dental
• Vision
• 401(k)

About the company

Plaid powers the tools millions of people rely on to live a healthier financial life. The company works with thousands of companies to connect financial accounts to apps and services.