TRM Labs is looking to hire a Senior Data Scientist to combat blockchain-related Fraud and Scam by developing custom models, algorithms, and visualizations to detect new threat vectors unique to cryptocurrencies and blockchains. This intelligence will be used by law enforcement agencies and financial institutions to stay ahead of evolving criminal activities.
Requirements
- 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
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.
- Establish best practices and statistical rigor around data-driven decision-making
- Deliver a last minute impactful project for a key customer
- Build complex products effectively with tight timeframes (1-2 sprints for MVP)
- Work on several projects in parallel with different priorities and stakeholders
Other
- 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 issues. 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
- 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.
- All team members, regardless of location must have at least 4 hour overlap with PST business hours.
