TRM Labs
Senior Blockchain Intelligence Analyst, Ransomware
$100K–$160K
United States +1 · Remote · Senior · Full-time · Posted Jun 27, 2026
- Location
- United States
London, United Kingdom - Experience
- 5-8+ years.
About the job
Conduct and lead complex ransomware investigations by tracing cryptocurrency, attributing threat actors, and producing actionable intelligence to support disruption and asset recovery.
What you'll do
- Trace ransomware proceeds across blockchains and laundering services, identify controllers and cash-out routes, and uncover recovery or disruption opportunities.
- Correlate blockchain activity with threat intelligence, OSINT, and off-chain signals; produce clear, auditable intelligence and attribution assessments.
- Lead investigative workstreams, strengthen ransomware investigative methods, and mentor peers without formal people-management responsibilities.
What they ask for
- 5-8+ years of relevant professional experience in blockchain intelligence, crypto investigations, cybercrime analysis, threat intelligence, financial crime investigations, or a comparable senior analytical role.
- Hands-on expertise tracing funds across multiple blockchains and laundering or obfuscation methods, including mixers, chain-hopping, bridges, and peel chains.
- Ability to independently conduct complex investigations and write clear intelligence products, including assessments, lead packages, fund-flow analysis, and attribution reporting.
- Ransomware ecosystem expertise, strong communication and judgment, and experience using AI tools and LLMs critically to augment analytical workflows.
Nice to have
- Experience in government, national security, law enforcement, incident response, or mature investigative or threat intelligence programs.
- Familiarity with OSINT, cybercrime infrastructure research, investigative platforms such as TRM, Maltego, or Palantir, or HUMINT and threat actor engagement.
Pay
$100K – $160K (base salary)
Tools
TRM, Maltego, Palantir, Slack, Notion, AI, LLMs
AI focus
Use AI tools and large language models to accelerate research, surface insights, and augment analytical workflows; critically evaluate generated outputs. AI fluency is evaluated during interviews.
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