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. The Senior Data Scientist will be responsible for developing custom models and algorithms to detect, prevent, and mitigate cryptocurrency fraud and financial crime, and identify new threat vectors unique to cryptocurrencies and blockchains.
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
- Lead the development of advanced machine learning and statistical models tailored to identify patterns and anomalies associated with cryptocurrency fraud and financial crime.
- 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.
- Create interactive visualizations that allow law enforcement agencies to explore and understand complex blockchain data easily.
- Establish best practices and statistical rigor around data-driven decision-making
Other
- As a leader in the team, you will collaborate closely with engineers, 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 financial crime.
- Develop your skills through exceptional training as well as frequent coaching and mentoring from colleagues
- Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics. Advanced degree preferred.
- You have 4+ 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.
