Blockchain Intelligence Analyst, Transnational Crime Organizations

Role overview Lead complex blockchain investigations into transnational criminal organizations, with a focus on drug trafficking proceeds and the networks that move them. This is a senior individual-contributor role: you’ll combine blockchain analysis, intelligence research, and cryptocurrency attribution to produce defensible findings that support investigative and operational decisions.

Responsibilities - Run investigations from initial indicators—such as wallet addresses, transactions, exchange exposure, or infrastructure leads—through attribution and written findings. - Trace funds across blockchains, bridges, mixers, peel chains, and layered services; identify controllers, counterparties, laundering routes, and cash-out points. - Correlate blockchain activity with open-source and other intelligence, identity clues, and infrastructure signals. - Produce cited, auditable intelligence, including actor profiles, fund-flow analysis, lead packages, and attribution assessments for investigative, executive, and partner audiences. - Work with law enforcement partners, including revisiting stalled cases and connecting evidence across investigations. - Improve investigative methods and repeatable workflows, and explain analytical findings in briefings or capability-building sessions.

Requirements - At least five years in blockchain intelligence, crypto or financial-crime investigations, narcotics investigations, threat intelligence, or a comparable analytical role. - Deep practical experience tracing funds across multiple blockchains and through obfuscation methods such as mixers, chain-hopping, bridges, peel chains, and layered cash-outs. - Ability to independently lead complex investigations and synthesize evidence into clear, rigorous written intelligence. - Strong communication skills for translating technical findings into actionable conclusions for government and private-sector audiences. - Sound judgment, curiosity, and the ability to maintain accuracy and defensibility in a fast-moving environment. - Experience using AI tools or large language models to support research, with the ability to assess their outputs critically.

Nice to have - Experience in government, national security, law enforcement, or an established private-sector investigations or threat-intelligence program.