Senior Data Scientist Analytics
TRM Labs provides a blockchain intelligence platform to help organizations investigate, monitor, and detect crypto and digital asset fraud and financial crime. They serve government agencies, financial institutions, and crypto businesses worldwide.
Investors
About TRM Labs
TRM Labs provides a next-generation blockchain intelligence platform designed to investigate, monitor, and detect crypto and digital asset fraud and financial crime. The platform features extensive asset coverage, supporting over 200 million assets across more than 41 blockchains, including NFTs and DeFi protocols. It offers cross-chain analytics to trace the flow of funds seamlessly between different blockchains and utilizes over 150 risk categories, including FATF's money laundering predicate offenses, for customized risk scoring. TRM's data is built from a large, proprietary database of illicit activity combined with advanced data science. The company serves a global client base, including government agencies, financial institutions, and crypto businesses, helping them to safeguard the crypto financial system, maintain high standards for AML/CFT compliance, and build trust in digital assets.
Skills
About the Role
You will own end-to-end development and delivery of critical analytics products. You will lead roadmap and prioritization, collaborate with engineers, data scientists, product and go-to-market teams, and work directly with customers to translate challenges into actionable analytics. You will develop complex statistical analyses, algorithms, and interactive visualizations to detect and prevent crypto-related fraud, design algorithms to analyze distributed ledger data and cryptographic protocols, communicate findings to technical and non-technical stakeholders, mentor colleagues, and establish statistical best practices. You will also support analytics on-call duties as required.
Requirements
- Degree in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics
- Advanced degree preferred
- 8+ years of experience in an analytical role
- Experience building internal scalable data and analytics products from design to deployment
- Proven experience with at least one programming language (Python preferred)
- Strong knowledge of relational databases and SQL
- Experience developing code in a team environment (git, notebooks, testing)
- Solid understanding of statistical distributions and analysis methods
- Excellent verbal and written communication skills
- High tolerance for ambiguity and ability to navigate uncertainty
Responsibilities
- Lead implementation of advanced analytics products
- Lead roadmap and prioritize analytics and AI products
- Collaborate with internal teams and customers to translate challenges into actionable products
- Develop complex statistical analyses, algorithms, and interactive visualizations
- Design algorithms to analyze distributed ledger data and cryptographic protocols
- Communicate findings effectively to technical and non-technical stakeholders
- Mentor colleagues and establish best practices and statistical rigor
- Own end-to-end development of scalable data and analytics products from design to deployment
- Participate in analytics on-call rotation
Benefits
- Remote work
- Eligibility to participate in TRM's equity plan