Senior Russia & Eurasia Crypto Threat Intelligence Lead

Chainalysis; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Chainalysis seeks a senior Russia & Eurasia intelligence analyst to own end-to-end attribution of crypto threats, focusing on Russia and Eurasia. You will lead on-chain tracing, produce actionable intelligence, and represent Chainalysis to external partners across global teams.

You will collaborate with analysts, data scientists, and engineers to map networks, surface data needs, and translate typologies into product-facing guidance while advancing AI-enabled workflows.

Qualifications

• Deep, demonstrable Russia & Eurasia expertise across sanctions, crypto infrastructure, and illicit-finance.
• On-chain tracing against Russian targets, with hands-on blockchain analysis experience.
• National-security, threat-finance, or investigations background enabling fast, high-stakes work.
• Regional fluency in geopolitics and sanctions landscapes; Russian language ability is a plus.

Responsibilities

• Own Russia & Eurasia attribution end to end, including threat actors, accounts, and infrastructure.
• Lead attribution response to Russia-related sanctions events and drive on-chain coverage.
• Map on-chain networks used by Russian and Eurasian actors and track adaptation under pressure.
• Produce finished intelligence for advisory notes, briefings, and flagship reports.
• Be the external expert representing Chainalysis on Russia & Eurasia crypto threats.

Skills

Russia & Eurasia expertise

On-chain tracing

Threat-finance experience

National-security background

Russian language ability

Excellent writing and communication

AI-forward instincts

Blockchain forensics

Tools

KYC / sanctions context

Data analysis

Job description

Chainalysis seeks a senior Russia & Eurasia intelligence analyst to own end-to-end attribution of crypto threats, focusing on Russia and Eurasia. You will lead on-chain tracing, produce actionable intelligence, and represent Chainalysis to external partners across global teams.

You will collaborate with analysts, data scientists, and engineers to map networks, surface data needs, and translate typologies into product-facing guidance while advancing AI-enabled workflows.