Senior Data Scientist, Analytics

March 6

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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

• TRM Labs is a blockchain intelligence company dedicated to fighting crime and creating a safer world for billions of people. • As a Senior Data Scientist, you will have end-to-end ownership of custom models, algorithms, and other data products. • Collaborate with engineers, data scientists, and research scientists to design algorithms to analyze complex data structures inherent to cryptocurrencies and blockchains. • Lead the development of advanced machine learning and statistical models tailored to identify patterns and anomalies associated with cryptocurrency fraud and financial crime. • Create interactive visualizations that allow law enforcement agencies to explore and understand complex blockchain data easily. • Stay up to date with the latest developments in the field of blockchain technology, cryptocurrencies, and financial crime.

🎯 Requirements

• Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics. Advanced degree preferred. • You have 4+ years of experience working in an analytical role. • You have proven experience with at least one programming language (Python preferred) and are comfortable developing code in a team environment (e.g. git, notebooks, testing). • You have a working knowledge of relational databases, (e.g. SQL) • You think about data in terms of statistical distributions and have a big enough analytics toolbox to know how to find patterns in data and identify targets for performance • You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize. • You are delivery-oriented, able to lead and execute modeling efforts from start to finish • You have excellent verbal and written communication skills and experience in influencing decisions with information.