About the job
Join Us in Building a Safer World.
At TRM Labs, we harness the power of blockchain analytics and AI to empower law enforcement, national security agencies, financial institutions, and cryptocurrency businesses. Our mission is to detect, investigate, and combat crypto-related fraud and financial crime. Our advanced blockchain intelligence and AI platforms are trusted globally, providing solutions to trace the source and destination of funds, identify illicit activities, build cases, and construct a comprehensive operating picture of threats.
As a Senior Data Engineer on the Graph Analytics team, you will have the opportunity to design and implement scalable graph systems that analyze extensive networks of cryptocurrency transactions. Collaborating closely with engineers, data scientists, and investigators, you will craft mission-critical graph algorithms to analyze fund flows across multi-blockchain environments. Your expertise in distributed databases and graph processors will be vital in deploying real-time graph algorithms. You will also work alongside data science teams to explore the intersection of graph theory and predictive learning challenges.
Your Impact Will Include:
Creating and implementing innovative graph algorithms to analyze large cryptocurrency transaction networks on a multi-blockchain scale.
Researching cutting-edge graph-native technologies to enhance the capabilities of TRM's data science and engineering teams.
Collaborating with a diverse, cross-functional team to gather insights for developing new graph algorithms and features based on key user stories.
Refining TRM’s risk models that evaluate extensive cryptocurrency transaction networks and assign risk scores to addresses.
Effectively communicating complex implementation details to a variety of stakeholders including investigators, customer success teams, data engineers, and data scientists.
Integrating a wide range of data inputs, from raw blockchain data to sophisticated model outputs.
