Senior Data Engineer, Graph Analytics

Academic background in a quantitative field such as Computer Science, Mathematics, Engineering, or Physics. Strong knowledge of algorithm design and data structures, and experience applying this knowledge towards real-world problems. 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 worked with research teams that regularly ship new features. Strong programming experience with Python and SQL. Excellent communicator skilled at tailoring explanations of complex topics to both technical and non-technical audiences. Self-motivated, comfortable working with ambiguity and shaping research direction while being accountable for outcomes. Knowledgeable of basic graph theory concepts.

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