TRM Labs is looking to solve the problem of fighting crime and creating a safer world by leveraging blockchain data, threat intelligence, and advanced analytics to combat illicit activity and global security threats for governments, financial institutions, and crypto businesses.
Requirements
- 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
Responsibilities
- Design and apply innovative techniques to surface hidden relationships across entities, transactions, and categories of interest.
- Uncover patterns in vast and complex networks that help redefine what’s possible in this space.
- Build pipelines, models, and frameworks that generate timely, high-quality intelligence for both internal teams and external stakeholders.
- Reduce time-to-insight dramatically.
- Collaborate closely with subject matter experts and engineers to validate heuristics, enhance attribution models, and operationalize new approaches into production systems.
- Provide insights that support governments, law enforcement, and financial organizations in combating fraud, financial crime, and national security threats.
- Identify new opportunities, propose bold ideas, and set standards for how intelligence is generated and consumed.
Other
- 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 a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
- The estimated base salary range for this role is $170,000 - $195,000.
- This role may be eligible to participate in TRM’s equity plan.