Senior Software Engineer, Graph Analytics

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TRM Labs

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2018

₿ Crypto

📋 Conformité

🤝 B2B

Crypto • Compliance • B2B

TRM Labs est une entreprise spécialisée dans l'intelligence blockchain qui fournit des solutions de surveillance de transactions, de services forensics et de conformité aux entreprises et organismes du secteur public traitant des cryptomonnaies. Leur plateforme et leurs produits (exemples : Compliance360, Investigation360, Seizure360, Supervision360, BlockInt API, MCP, wallet screening, Know-Your-Asset) aident les banques, les entreprises crypto, les régulateurs, les forces de l'ordre et les autorités fiscales à détecter, enquêter et bloquer les activités crypto illicites, soutenir les saisies, et répondre aux exigences de LBC/FT et de supervision. TRM propose également des formations et certifications (TRM Academy) ainsi que des services professionnels tels que la réponse aux incidents et le développement des capacités.

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

🎯 Exigences

• 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.

🏖️ Avantages

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