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TRM Labs

Blockchain analytics for financial crime

Senior Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A quantitative background in Computer Science, Statistics, Engineering, Economics, or Physics.
  • Ability to absorb and apply domain expertise in blockchain, fraud, money laundering, or cybercrime.
  • At least 6 years in an analytical role, with strong SQL, Python, and AI-assisted coding tool experience using Cursor or Claude Code.
  • Experience with distributed data systems such as Spark, BigQuery, and Airflow, and with shipping production code.
  • At least 4 hours of overlap with PST business hours.
  • Ability to work independently in a remote environment.
  • AI fluency, including applying AI to accelerate workflows, structure and solve problems, improve output quality, and increase speed and leverage.

Responsibilities

  • Own end-to-end attribution for a risk category by identifying high-impact targets, building algorithms including heuristics, machine-learning models, and AI agents, and shipping them to production.
  • Collaborate with and become a subject matter expert for the assigned category, translating customer and go-to-market needs into actionable intelligence.
  • Navigate network, on-chain, and protocol intelligence layers to uncover patterns.
  • Ship production-quality code, heuristics, machine-learning models, and data pipelines with rigorous evaluation and scalable architecture.
  • Deliver measurable outcomes including tracing, seizing, or preventing illicit funds.
  • Participate in analytics on-call for less than 1 hour per day monthly and data science on-call for 1–2 hours per day every 3 months.
  • Participate in in-person research and development work weeks, typically 1–2 times per quarter, at a TRM hub or other designated location; additional travel may be required based on team and cross-functional needs.

Desired Qualifications

  • Deep machine-learning experience.
  • Prior experience in crypto, financial crime, or financial institutions.

About the Company

TRM Labs

Blockchain analytics for financial crime

TRM Labs provides blockchain intelligence tools for financial institutions, crypto businesses, and government agencies to detect and investigate crypto-related financial crime and fraud. It analyzes blockchain activity using data engineering, data science, and threat intelligence to surface risk signals, enable investigations, and support compliance workflows. Its products combine on-chain and off-chain data, risk scoring, and case management through subscription services and customized solutions. Compared to others, TRM Labs serves a diverse client base (banks, exchanges, regulators) and emphasizes end-to-end investigative capabilities and tailored risk insights rather than generic analytics. The company’s goal is to improve the security and integrity of the global financial system by reducing illicit activity in the crypto space.

Company size
201-500
Company stage
Series C
Total funding
$220M
Headquarters
San Francisco, CA
Founded
2018

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