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.
Requirements
- Strong knowledge of algorithm design and data structures
- Experience optimizing large-scale distributed data processing systems such as Apache Spark, Apache Hadoop, Dask, and distributed graph databases
- Experience converting academic research into products and have worked with research teams that regularly ship new features
- Strong programming experience with Python and SQL
- Knowledge of basic graph theory concepts
- Experience with distributed databases and graph processors
- Experience with real-time graph algorithms at the multi-blockchain scale
Responsibilities
- Designing and implementing graph algorithms that analyze large cryptocurrency transaction networks at multi-blockchain scale
- Researching new graph-native technology to evaluate benefit to data science and data engineering teams at TRM
- Working on a highly cross-functional team that collaborates with cryptocurrency investigators to identify key user stories and requirements for new graph algorithms and features
- Understanding and refining TRM’s risk models which analyze large networks of cryptocurrency transactions to assign risk scores to addresses
- Communicating complex implementation details to a variety of audiences from investigators and customer success stakeholders to data engineers and data scientists
- Integrating with a diverse set of data inputs ranging from raw blockchain data to complex model outputs
- Collaborating closely with engineers, data scientists, and investigators to design mission-critical graph algorithms that analyze flows of funds
Other
- Academic background is in a quantitative field such as Computer Science, Mathematics, Engineering, or Physics
- Excellent communicator who is skilled at tailoring explanations of complex topics to both technical and non-technical audiences
- Delivery-oriented and able to lead and execute new features start to finish
- Autonomous and own what you work on, moving fast and getting things done
- Ability to work in a fast-paced, collaborative environment with a global team
