TRM Labs · 1 day ago
Senior Data Scientist, Fraud
United States
Full-time
Remote
Senior Level
$170K/yr - $195K/yr
6+ years expTRM Labs is a blockchain intelligence company dedicated to building a safer financial system. As a Senior Data Scientist, you will own the investigation and analytics of blockchain-related fraud, developing models and visualizations that aid law enforcement agencies in combating financial crime.
Big DataBlockchainComplianceCryptocurrency
Responsibilities
Develop custom models, algorithms, and interactive visualizations that will be consumed by former FBI, Secret Service, and Europol agents and analysts to detect new threat vectors unique to cryptocurrencies and blockchains
Collaborate with engineers and research scientists to design algorithms to analyze complex data structures inherent to cryptocurrencies and blockchains. This will involve working with distributed ledger technologies, cryptographic protocols, and transactional data to uncover suspicious activities
Create interactive visualizations that allow law enforcement agencies to explore and understand complex blockchain data easily. These visualizations will enable investigators to navigate through the data effectively and identify key insights related to potential fraud and financial crime
As a leader in the team, you will collaborate closely with intelligence analysts, data scientists, and research scientists to align on project goals, methodologies, and deliverables. You will communicate your findings and insights effectively to both technical and non-technical stakeholders
You will stay up to date with the latest developments in the field of blockchain technology, cryptocurrencies, and fraud and scam-related crime. This will involve continuous learning, attending conferences, and exploring research papers to incorporate cutting-edge techniques into your work
Develop your skills through exceptional training as well as frequent coaching and mentoring from colleagues
Establish best practices and statistical rigor around data-driven decision-making
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
Qualification
Required
Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics
6+ years of experience working in an analytical role
Proven experience with at least one programming language (Python preferred) and are comfortable developing code in a team environment (e.g. git, notebooks, testing)
Working knowledge of relational databases, (e.g. SQL)
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
High tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize
Preferred
Advanced degree preferred
Benefits
TRM’s equity plan
Company
TRM Labs
TRM Labs is a software company that offers blockchain, transaction monitoring, and analytics to help financial institutions and governments.
201-500 employees
H1B Sponsorship
TRM Labs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (4)
2023 (3)
2022 (3)
2021 (1)
Funding
Current Stage
Growth StageTotal Funding
$149.9MKey Investors
Thoma BravoJP Morgan ChaseTiger Global Management
2022-11-09Series B· $70M
2022-04-04Series B
2022-02-28Series Unknown
Leadership Team
Esteban Castano
Co-founder & CEO
Rahul Raina
Co-Founder
Recent News
2025-12-24
Crowdfund Insider
2025-12-22
Company data provided by crunchbase