Senior Software Engineer Graph Analytics

Build scalable graph systems that analyze large cryptocurrency transaction networks, implement real-time graph algorithms using distributed databases and graph processors, and collaborate with engineers, data scientists, and investigators on predictive learning and risk-analysis capabilities.

Responsibilities

• Design and implement graph algorithms for large cryptocurrency transaction networks at multi-blockchain scale.
• Research graph-native technology for data science and data engineering applications.
• Collaborate with cryptocurrency investigators to identify user stories and requirements for graph algorithms and features.
• Understand and refine risk models that analyze cryptocurrency transaction networks and assign address risk scores.
• Communicate complex implementation details to investigators, customer success stakeholders, data engineers, and data scientists.
• Integrate diverse data inputs, including raw blockchain data and complex model outputs.

Requirements

• Quantitative academic background in Computer Science, Mathematics, Engineering, Physics, or a similar field.
• Strong knowledge of algorithm design and data structures with experience applying them to real-world problems.
• Experience optimizing large-scale distributed data processing systems such as Spark, Hadoop, Dask, and distributed graph databases.
• Experience converting academic research into products and working with research teams that ship features.
• Strong programming experience with Python and SQL.
• Excellent communication skills for explaining complex topics to technical and non-technical audiences.
• Self-motivation, independent problem-solving, comfort with ambiguity, and accountability for outcomes.
• Knowledge of basic graph theory concepts.