Cyber Threat Intelligence Analyst, Scams

As a Cyber Threat Intelligence Analyst on TRM Labs' Scam Disruption team, you'll lead infrastructure-driven investigative work against pig butchering syndicates, romance fraud networks, and investment scam operations. You'll pivot from a single domain, IP, or certificate to map the network behind it, follow it to the money, and deliver actionable intelligence to law enforcement and government partners. You'll track scam infrastructure as it evolves, fusing technical, open-source, and on-chain data to build operational pictures that help dismantle scam operations.

What you'll do

• Pivot across shared certificates, registrars, nameservers, hosting, and ASNs to map the wider infrastructure behind scam operations, clustering one-off indicators into campaigns.
• Track campaigns as they evolve through new domains, hosting and registrar changes, and certificate reuse, staying on actors as they rebuild and re-register after takedowns and seizures.
• Drive attribution of threat actors by leveraging open-source and commercially available data.
• Fuse technical infrastructure with the on-chain picture, carrying investigations from infrastructure through to the wallet, laundering path, and cash-out.
• Build clustering logic, detection rules, and automation or tooling to surface malicious infrastructure proactively.
• Produce defensible, calibrated assessments, assigning confidence, weighing evidence across sources, and standing behind malicious-versus-benign calls.
• Synthesize on-chain and off-chain intelligence (OSINT, technical, and financial) into targeting packages that government or law-enforcement consumers can act on.
• Own the intelligence cycle end to end with minimal supervision, partnering with the Scams SME team and with data, engineering, and product to sharpen TRM's collection capabilities.

What you bring

• 5+ years of proven experience in cyber threat intelligence or threat infrastructure analysis roles (this is not an entry-level position).
• Hands-on infrastructure attribution: infrastructure pivoting and campaign tracking across shared certificates, registrars, nameservers, hosting, and ASNs, with a habit of thinking in campaigns rather than isolated indicators.
• A track record of staying on an actor or campaign over time, including through takedowns and re-registration.
• Hands-on fluency with CTI tooling such as passive DNS, WHOIS, certificate or Shodan-style fingerprinting, and phishing monitoring.
• Experience building detection and clustering logic, rules, or automation yourself, not just configuring vendor tooling.
• Attribution tradecraft: using open-source and commercially available data to drive attribution of threat actors.
• Demonstrated ability to produce actionable intelligence or targeting packages for a government, law-enforcement, or equivalent consumer who acted on them, with calibrated and defensible analytic judgment.
• Location in the Washington, D.C./MD/VA area (periodic in-person collaboration and travel may be required).
• AI fluency: you should be among the top 10 percent of operators in your function in how you apply AI to accelerate repeatable workflows, structure and solve problems, improve output quality, and increase speed and leverage.

What we offer

• Work on AI-powered intelligence solutions that help agencies investigate and disrupt crime at scale.
• Distributed team with async-first approach via Slack and Notion, plus structured syncs for alignment.
• High autonomy, high standards, low bureaucracy; work directly with analysts, engineers, and customers who depend on your output.
• Weekly team syncs to align targeting priorities and review disruption opportunities, with primary time zone overlap in US Eastern and Central time.

About TRM Labs

TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM is a Series C company with $220M in total funding backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.