Senior Data Scientist, TRM Labs
Full Stack
$170-195k
Blockchain investigations & risk management
Open for applications
Blockchain investigations & risk management
201-500 employees
Open for applications
$170-195k
201-500 employees
Company mission
To build a safer financial system for billions of people.
Role
Who you are
- Quantitative background (Computer Science, Statistics, Engineering, Economics, Physics)
- Strong problem-solving mindset: gets to the root cause, leverages creativity, and thrives in ambiguity with a hypothesis-driven, iterative approach
- Demonstrated domain curiosity — ability to absorb and apply expertise in blockchain, fraud, money laundering, or cybercrime
- 6+ years in an analytical role with strong SQL, Python, and AI-assisted coding tools (Cursor, Claude Code)
- Experience with distributed data systems (Spark, BigQuery, Airflow) and shipping production code
- Strong async communication (Loom, Slack, Notion) and ability to own work independently in a remote environment
- Bonus: Deep ML experience, prior work in crypto, financial crime, or financial institutions
What the job involves
- As a Senior Data Scientist, Attribution, you will be embedded within a specific risk category (e.g., Sanctions, Cybercrime, Counter Terrorism) and own the attribution algorithms that drive direct customer outcomes — from seizing illicit funds to disrupting crypto-enabled crime networks
- You'll operate as equal parts Subject Matter Expert and Data Scientist, translating deep domain knowledge into production-grade intelligence
- The impact you'll have here:
- Own end-to-end attribution for a risk category: identify high-impact targets, build algorithms (heuristics, ML models, AI agents), and ship to production
- Collaborate tightly with — and become — a Subject Matter Expert for your category, translating customer and GTM needs into actionable intelligence
- Navigate all intelligence layers (Network / On-chain / Protocol) to uncover patterns competitors can't replicate
- Ship production-quality code — heuristics, ML models, and data pipelines — with rigorous evaluation and scalable architecture
- Drive measurable outcomes: billions in illicit funds traced, seized, or prevented
- About the Team:
- Data Scientists are embedded within risk categories teams (Sanctions, Cybercrime, Nation States, etc.), working closely with SMEs, engineers, and cross-functional partners
- Fully remote and globally distributed. Most overlap occurs 7am–12pm PST for meetings and collaboration
- All team members must have at least 4-hour overlap with PST business hours
- On-call responsibilities: Analytics on-call (< 1 hr/day monthly) and Data Science on-call (1-2 hrs/day every 3 months)
- Learn about TRM Speed in this position:
- Rapid Customer Impact. Deliver last-minute, high-stakes projects for key customers — turning around attribution insights in days, not weeks
- MVP to Production. Build complex algorithms with tight timeframes (1-2 sprints for MVP) and iterate based on real customer feedback
- Parallel Execution. Juggle multiple priorities across categories and stakeholders while maintaining quality and speed
Our take
The crypto space has become more mainstream but it is also intensely volatile and poorly regulated, with a high degree of anonymity afforded to its users. As such it has become a major source of financial fraud with $20 billion in crypto stolen in 2022 alone. TRM Lab exists to return trust to the blockchain, helping banks, government agencies and crypto companies detect and combat fraud with its blockchain intelligence solutions.
As the risk of blockchain fraud is only increasing, with the proceeds often being used for organized crime, there are a number of companies working in this space. TRM stands out with the breadth of its crypto asset coverage and the strength of its cross-chain analytics. It has partnered with the FBI and Europol to aid its investigations, and is also used by major crypto companies MoonPay and Binance.
The company has grown its revenue by almost 500% year on year since its founding in 2018, and has raised a significant amount of capital. With the funding its secured, its further developing its product and hiring additional talent. And as businesses and government agencies increasingly come to grips with fraud in the crypto space, TRM is well poised to continue its rapid growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
42% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Feb 2026
$70m
SERIES C
Nov 2022
$70m
SERIES B
Total funding: $220.1m
Company benefits
- DIstributed, not distant
- Competitive compensation package
- Paid time off: 25 days of vacation and competitive holistic paid time off plans
- Parental leave & family planning: 18 weeks of paid parental leave (if employed for at least 180 days unless the home state or country required less tenure). For select eligible regions, we also offer fertility treatments via the Carrot platform
- Health coverage: Premium coverage for medical, dental, vision and life insurance
- Company retreats
- Career growth
Company HQ
SoMa, San Francisco, CA
Leadership
Esteban Castaño
(Co-Founder & CEO)Former Business Analyst at McKinsey & Company. Founded the Digital team at Generation, a high growth youth employment program, before launching TRM in 2018.
Rahul Raina
(Co-Founder & CTO)Former Senior Business Analyst at McKinsey & Company. Former Software Engineer at Amazon Web Services and Opendoor.
Share this job
View 52 more jobs at TRM Labs