Senior Software Engineer - Graph Analytics

January 14

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TRM Labs

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TRM Labs is a company that delivers blockchain intelligence to detect crypto-facilitated crime and ensure compliance and safety worldwide. Their services include forensics, tactical transaction monitoring, wallet screening, and know-your-entity solutions. TRM Labs supports government agencies, financial institutions, and crypto businesses globally by providing blockchain investigations and risk management solutions to combat fraud and financial crime. They are trusted by leading organizations to help prove crypto cases in court and build safer financial systems.

Anti-money laundering • Blockchain analysis • Transaction monitoring • Crypto compliance • Blockchain forensics

51 - 200 employees

🔒 Cybersecurity

💸 Finance

💰 $70M Series B on 2022-11

📋 Description

• As a Senior or Staff Software Engineer on the Graph Analytics team, you will build scalable graph systems that analyze large networks of cryptocurrency transactions. • You will collaborate closely with engineers, data scientists, and investigators to design mission-critical graph algorithms that analyze flows of funds. • You will leverage distributed databases and graph processors to implement real-time graph algorithms at the multi-blockchain scale. • You will collaborate with data science teams to identify opportunities to apply tools and techniques from graph theory to a variety of predictive learning problems. • The impact you will have involves 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 is also part of your role. • You will work 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 is expected from you. • You will need to communicate 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 is within your responsibilities.

🎯 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 delivery-oriented. You are able to lead and execute new features start to finish. • You are autonomous and own what you work on. You move fast and get things done. • You are knowledgeable of basic graph theory concepts.

🏖️ Benefits

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