Threat Intelligence Analyst, Scams Expert

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.

TRM's Blockchain Intelligence team is the world's leading source of actionable crypto crime intelligence — and scams are the fastest-growing threat category we track. As the Threat Intelligence Analyst, Scams Expert
, you are the strategic architect of TRM's scam-disruption mission. You understand the ecosystem at depth, you know what data and disruption levers are available, and you define the approaches the All-Source targeters then execute.

This is a creative-architect role, not a workflow role. The All-Source investigators run the operational machinery; you are the connective tissue between blockchain intelligence and disruption action — the person who can say "here are the things we can do, and here is how we can do them at scale."

• Map the global scam ecosystem at strategic depth — pig butchering syndicates, romance fraud networks, investment scam operations, and the laundering infrastructure they share — and translate that map into TRM's interdiction strategy.
• Serve as the liaison between on-chain crypto investigation and disruption action — you are the connective tissue between blockchain intelligence and the All-Source team that converts it into executed targeting.
• Define the disruption levers — given the data we hold, tooling available, and the authorities our partners can exercise, design approaches that move operator economics, not just case counts.
• Produce snap leads, timely insights, and contributions to TRM's published threat research on the scam landscape — outputs that reach law enforcement agencies, financial institutions, and crypto businesses worldwide.
• Function as a force multiplier — fewer of these roles are needed than All-Source investigators because each disruption framework you design enables the team to execute against many targets at scale.
• Set scam attribution priorities for TRM's product — work directly with Data and Engineering to ensure the most operationally valuable scam entities make it into the platform first.

• 3-5 years of threat intelligence, fraud intelligence, or crypto crime analysis experience, with demonstrated ownership of a scam-typology beat — published research, attribution coverage you can point to, and intelligence that influenced operational decisions.
• Crypto/blockchain fluency
  — working proficiency tracing victim funds through multi-hop laundering chains, building entity attribution, and operating in major blockchain analytics platforms at production speed; you have personally mapped a pig-butchering syndicate's infrastructure end-to-end.
• Scam ecosystem expertise — deep familiarity with at least one major scam category (pig butchering, romance fraud, investment scams, NFT / DeFi fraud); you understand syndicate structure, modus operandi, and the crypto infrastructure these operations rely on. Familiarity with gift card-to-crypto laundering as a scam monetization pathway is a plus.
• Architectural thinking — you don't just produce intelligence, you design how it moves: you can describe a moment where you said "here is what we can do, and here is how the executors run it," and the executors did.
• Threat intelligence tradecraft
  — structured analytic writing, confidence levels, source attribution; you distinguish what is actionable from what is merely interesting.
• AI fluency (required) — AI tools are core to your research workflow; you can show specific ways AI has accelerated your hypothesis generation, drafting, and pattern analysis.
• Excellent written communication — you can write a brief that a federal analyst, financial institution compliance officer, or crypto exchange investigations lead can act on immediately.
• Location — Prefer candidates based in the US, but open to global remote candidates with at least 4–6 hours of overlap with US…