Senior Data Engineer, Graph Analytics

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TRM Labs

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

₿ Crypto

📋 Compliance

🤝 B2B

Crypto • Compliance • B2B

TRM Labs is a blockchain intelligence company that provides transaction-monitoring, forensics, and compliance solutions for businesses and public-sector organizations dealing with cryptocurrencies. Their platform and products (examples: Compliance360, Investigation360, Seizure360, Supervision360, BlockInt API, MCP, wallet screening, Know-Your-Asset) help banks, crypto firms, regulators, law enforcement, and tax authorities detect, investigate, and block illicit crypto activity, support seizures, and meet AML/CTF and supervision requirements. TRM also offers training and certification (TRM Academy) and professional services such as incident response and capacity development.

📋 Description

• Build scalable graph systems to analyze networks of cryptocurrency transactions • Collaborate with engineers and data scientists to design graph algorithms • Implement real-time graph algorithms using distributed databases • Identify opportunities to apply graph theory in predictive learning problems • Research new graph-native technology and evaluate its benefits for teams • Understand and refine risk models for cryptocurrency transactions • Communicate complex implementation details clearly to various stakeholders

🎯 Requirements

• Academic background in a quantitative field such as Computer Science, Mathematics, Engineering, or Physics. • Strong knowledge of algorithm design and data structures • Experience optimizing large-scale distributed data processing systems such as Apache Spark, Apache Hadoop, or Dask • Experience converting academic research into products • Strong programming experience with Python and SQL • Excellent communication skills tailored for technical and non-technical audiences • Self-motivated with minimal guidance and comfortable working with ambiguity • Knowledgeable of basic graph theory concepts.

🏖️ Benefits

• Building a safer world through AI-powered intelligence solutions • Flexible work arrangements • Culture of trust, transparency, and adaptability • Frequent communication and collaboration