TRM is a blockchain intelligence company that’s on a mission to build a safer financial system for billions of people. We’re a lean, high-impact team tackling some of the world’s most critical challenges, ranging from human trafficking and financial fraud to terrorist financing. We are builders who power governments, financial institutions, and crypto companies when the clock is running and the consequences are real. This is why every TRMer is a bet on our future and has the power to change our trajectory.
About the PositionAs a Senior Data Scientist on the Insights team, you will play a central role in transforming TRM’s intelligence into compelling, defensible narratives. Working closely with engineers, data scientists and editors, you’ll uncover patterns and connections across both on-chain and off-chain data, producing insights that inform TRM’s flagship reports and investigations.
Your work won’t stop at research. You will actively discover new intelligence, validate and extend TRM’s attribution, and communicate findings back into our attribution pipelines and products. The insights you generate will strengthen TRM’s ability to surface emerging threats — from scams and fraud to complex laundering schemes — ensuring that our intelligence products remain the most reliable and impactful in the industry.
The impact you will have:
- Push the frontier of blockchain attribution: Design and apply innovative techniques to surface hidden relationships across entities, transactions, and categories of interest.
- Advance the science of blockchain intelligence: Uncover patterns in vast and complex networks that help redefine what’s possible in this space.
- Deliver impactful insights at scale: Build pipelines, models, and frameworks that generate timely, high-quality intelligence for both internal teams and external stakeholders.
- Reduce time-to-insight dramatically: Help TRM and its partners respond to emerging risks faster than ever before.
- Collaborate across disciplines: Work closely with subject matter experts and engineers to validate heuristics, enhance attribution models, and operationalize new approaches into production systems.
- Empower global institutions: Provide insights that support governments, law enforcement, and financial organizations in combating fraud, financial crime, and national security threats., including for former FBI, Secret Service, and Europol agents.
- Shape the future of data science at TRM: Identify new opportunities, propose bold ideas, and set standards for how intelligence is generated and consumed.
- Mentor and inspire peers: Contribute to a culture of intellectual curiosity, rigor, and continuous improvement.
What we're looking for:
- Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics. Advanced degree preferred.
- You have 6+ years of experience working in an analytical role.
- You have proven experience with at least one programming language (Python preferred) and are comfortable developing code in a team environment (e.g. git, notebooks, testing).
- You have a working knowledge of relational databases, (e.g. SQL)
- You think about data in terms of statistical distributions and have a big enough analytics toolbox to know how to find patterns in data and identify targets for performance
- You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $170,000 - $195,000. Please note that the base range is applicable to the US and will be different depending on the country.
- Additionally, this role may be eligible to participate in TRM’s equity plan.
We build to protect civilization. That promise shows up in how we work every day.
TRM runs fast. Really fast. We’re a high-velocity team that expects ownership, clarity, and follow-through. People who thrive here are inspired by hard problems, experimentation, direct feedback. If it takes months elsewhere, it often ships here in days. If you are optimizing primarily for consistent work-life balance, use the interview process to pressure-test fit. We want teammates who thrive here, not just survive here.
We coach directly, assume positive intent, and play for the front of the jersey.
Leadership Principles- Impact-Oriented Trailblazer: We put customers first, driving for speed, focus, and adaptability.
- Master Craftsperson: We prioritize speed, high standards, and distributed ownership.
- Inspiring Colleague: We value humility, candor, and a one-team mindset.
Want to learn more about how we interview at TRM Labs? Check out more about our leadership principles and hiring process here.
What You’ll Do HereThis work has teeth. At TRM, your week might include:
- Driving critical investigations that can’t wait for typical business hours.
- Shipping products in days when others would schedule quarters.
- Partnering with teams across time zones to deliver insights while the story is still unfolding.
- Building new solutions from first principles when the playbook doesn’t yet exist.
- Protecting victims and customers by tracing illicit activity and disrupting criminal networks.
We look for people who want their work to matter, who build with speed and rigor, and who take pride in protecting others through their craft. If you’re excited by TRM’s mission but don’t check every box, apply anyway. We hire for slope, judgment, and the will to learn fast.
Build to protect civilization. Let’s do it together.
Recruitment agencies
TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.
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What We Do
TRM Labs is a blockchain intelligence company that helps financial institutions, crypto businesses and government agencies detect and investigate crypto-related financial crime and fraud. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
We have raised over $79M from JPMorgan Chase, Visa, Citi, PayPal, Block, Initialized Capital, Tiger Global, Bessemer, and Y Combinator.
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