Senior Software Engineer, Graph Analytics

Job not on LinkedIn

🕒 July 28

🇺🇸 United States – Remote

💵 $200k - $220k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• 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.

🏖️ Benefits

• This role may be eligible to participate in TRM’s equity plan