GEOINT Analyst, Scams at TRM · Web3Vacancy
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GEOINT Analyst, Scams

Remote
Market range (est.) $90k–$180k
◆ 6/10 aitechOtherremote
About this role

Join TRM as a GEOINT Analyst to combat scams using geospatial intelligence. Work remotely to locate and analyze scam operations, providing actionable insights to law enforcement.

Description

About the Role

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.

The 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 GEOINT Analyst, you’ll be the team's location specialist: finding where scam compounds are, who is operating them, and how they move, then turning that picture into intelligence law enforcement partners can act on. You will operate the "intelligence flywheel" daily, fusing geospatial, ad tech, on-chain, and off-chain data to build operational pictures that help dismantle scam operations.

The Impact You Will Have

  • Locate and map scam compounds using satellite and aerial imagery, geolocation, and open-source geospatial data, and track how they change over time, including construction, expansion, and relocation after raids
  • Place people and devices to a location using ad tech and commercial location data, IP geolocation, and other location-bearing telemetry, and build pattern-of-life pictures of operators and controllers
  • Fuse location intelligence with on-chain attribution, OSINT, and commercially available data to identify operators, controllers, and movement patterns
  • Find the seams: pivot from a single address, IP, photo, or victim lead to the compound and the people running it
  • Partner with the Threat Intelligence Analyst (Scams Expert), the CTI Analyst, and the All-Source Lead to translate disruption strategy into targeting packages that influence law enforcement and government action

What We're Looking For

  • 3 to 5 years of hands-on GEOINT, imagery analysis, or location-based targeting experience: military or Intelligence Community geospatial roles (e.g., NGA, Army 35G), law enforcement targeting, or a mission-aligned private sector equivalent such as a GEOINT or OSINT services firm
  • Geolocation and imagery tradecraft: you can take a photo, video, IP, or set of coordinates, place it with confidence, and explain how you got there
  • Ad tech and commercial location data (strongly preferred): experience with mobile ad IDs, bidstream, or other commercial location data. Ideally you bring both GEOINT and ad tech
  • Works beyond the government toolkit: you can get answers from open-source and commercial tools when classified systems and data aren't available
  • Creative tactical thinking — demonstrated ability to pivot from a single point to a network view, identifying operators behind operations
  • Link and pattern analysis fluency — ability to correlate disparate data sources to generate defensible target packages
  • Clear written and verbal communication: you can explain your methods, your confidence, and your own role in plain terms, and write memos, attribution write-ups, and leads that are actionable
  • AI fluency (required) — you use AI tools in your workflow, synthesizing data, drafting outputs, and accelerating analysis, with examples of how AI has impacted your work
  • Crypto experience is a plus, not a requirement — we teach on-chain tradecraft; we cannot teach the targeter's instinct
  • Familiarity with Southeast Asia scam compounds or Chinese-run criminal networks is a plus

Location

  • Remote in the UK, EMEA, or US (including Washington, DC). You must already have the right to work where you're based.

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 are the operational core, converting strategy and tooling into prosecutable, actionable intelligence
  • Distributed team with an 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

Team Operating Rhythms

  • Weekly team syncs to align targeting priorities and review disruption opportunities
  • Daily async standups via Slack on active work, returns, and target packages in flight
  • Primary time zone overlap: US Eastern / Central
  • All output documented in Notion and TRM’s investigative tools
  • Surge availability expected during time-sensitive disruption windows
Conditions & Benefits

Conditions

  • Remote work in the UK, EMEA, or US (including Washington, DC). You must already have the right to work where you're based.
  • The Scam Disruption team operates within TRM’s Blockchain Intelligence organization, alongside threat intelligence analysts, on-chain investigators, and federal partners.
  • Distributed team with an 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.
  • Daily async standups via Slack on active work, returns, and target packages in flight.
  • Primary time zone overlap: US Eastern / Central.
  • All output documented in Notion and TRM’s investigative tools.
  • Surge availability expected during time-sensitive disruption windows.
Job Details
Market range (est.)$90k–$180k
LocationRemote
AI Score★★★★★★☆☆☆☆ 6/10
PostedOct 13, 2026 (2h ago)
Tags & Skills
aitechOtherremote
Tech Stack
GEOINTimagery analysislocation-based targetingad techcommercial location dataAI tools

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