Cyber Threat Intelligence Analyst, Scams (DC, MD, VA only)
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Build a Safer World.TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure.
About the RoleThe Scam Disruption team is TRM's tip of the spear against pig butchering syndicates, romance fraud networks, and investment scam operations that steal billions from victims each year. As a Cyber Threat Intelligence Analyst, you'll lead infrastructure-driven investigative work: pivoting from a single domain, IP, or certificate to the network behind it, following it to the money, and delivering 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 the operational pictures that help dismantle scam operations.
The Impact You Will Have- Start from one indicator — a scam domain, IP, or certificate — and pivot across shared certificates, registrars, nameservers, hosting, and ASNs to map the wider infrastructure behind Southeast Asia scam operations, clustering one-off indicators into campaigns.
- Track campaigns as they evolve — new domains, hosting and registrar changes, certificate reuse — and stay on actors as they rebuild and re-register after takedowns and seizures, anticipating their next infrastructure.
- Drive attribution of threat actors by leveraging open-source and commercially available data.
- Fuse technical infrastructure with the on-chain picture — carrying an investigation from infrastructure through to the wallet, the laundering path, and the cash-out.
- Build clustering logic, detection rules, and automation or tooling to surface malicious infrastructure proactively, rather than waiting on off-the-shelf feeds.
- Produce defensible, calibrated assessments — assigning confidence, weighing evidence across sources, and standing behind a malicious-versus-benign call.
- Synthesize on-chain and off-chain intelligence (OSINT, technical, and financial) into targeting packages that a government or law-enforcement consumer 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 We're Looking For- 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 — and a habit of thinking in campaigns, not 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 — 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, and calibrated, defensible analytic judgment.
- Must be located in the Washington, D.C./MD/VA area (periodic in-person collaboration and travel may be required)
About the Team- The Scam Disruption team operates within TRM’s Blockchain Intelligence organization, alongside threat intelligence analysts, on-chain investigators, and federal partners
- All-Source Investigators and Cyber Threat Intelligence Analysts are the operational core, converting strategy and tooling into prosecutable, acti...
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Blockchain intelligence company helping governments and financial institutions detect and investigate crypto crime.
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