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TRM Labs

Senior Software Engineer Graph Analytics

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You will build scalable graph systems that analyze large networks of cryptocurrency transactions. You will collaborate with engineers, data scientists, and investigators to design mission-critical graph algorithms that analyze flows of funds. You will leverage distributed databases and graph processors to implement real-time graph algorithms at the multi-blockchain scale. You will collaborate with data science teams to identify opportunities to apply tools and techniques from graph theory to a variety of predictive learning problems.

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

Requirements

  • Your academic background is in a quantitative field such as Computer Science, Mathematics, Engineering, or Physics.
  • You have strong knowledge of algorithm design and data structures, and have experience applying this knowledge towards real-world problems.
  • You have experience optimizing large-scale distributed data processing systems such as Apache Spark, Apache Hadoop, Dask, and distributed graph databases.
  • You have experience converting academic research into products and have worked with research teams that regularly ship new features.
  • You have strong programming experience with Python and SQL.
  • You are an excellent communicator who is skilled at tailoring explanations of complex topics to both technical and non-technical audiences.
  • You are self-motivated. You propose and validate solutions with minimal guidance. You're comfortable working with ambiguity and shaping your own research direction while being accountable for outcomes.
  • You are knowledgeable of basic graph theory concepts.