Senior or Staff Software Engineer - Graph Analytics

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Requirements:

• Academic background in a quantitative field such as Computer Science, Mathematics, Engineering, or Physics.
• Strong knowledge of algorithm design and data structures with practical application experience.
• Experience optimizing large-scale distributed data processing systems like Apache Spark, Apache Hadoop, Dask, and graph databases.
• Experience in converting academic research into products with a history of collaborating on feature releases.
• Strong programming experience in Python and SQL.
• Excellent communication skills for technical and non-technical audiences.
• Delivery-oriented with the ability to lead feature development from start to finish.
• Autonomous ownership of work, capable of moving swiftly and efficiently.
• Knowledge of basic graph theory concepts.

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.
• Collaborating with cryptocurrency investigators to identify key user stories and requirements for new graph algorithms and features.
• Understanding and refining TRM’s risk models to assign risk scores to addresses.
• Communicating complex implementation details to various audiences from investigators to data engineers.
• Integrating with diverse data inputs ranging from raw blockchain data to model outputs.