Data Scientist
Ondo FinanceFull Time
Junior (1 to 2 years)
Candidates should have a quantitative academic background in fields like Computer Science, Statistics, Engineering, Economics, or Physics, with an advanced degree preferred. They must possess at least 4 years of analytical experience, proficiency in at least one programming language (Python preferred), and experience with team development tools such as Git and notebooks. Familiarity with relational databases and SQL is also required, along with a strong understanding of statistical distributions and data analysis techniques.
The Senior Data Scientist will lead the development of machine learning and statistical models to detect cryptocurrency fraud and financial crime, creating custom algorithms and interactive visualizations for law enforcement agencies. Responsibilities include collaborating with engineers and research scientists to analyze complex blockchain data, identifying new threat vectors, and communicating findings to stakeholders. The role also involves staying current with blockchain technology and financial crime developments, establishing best practices for data-driven decision-making, and mentoring junior team members.
Blockchain intelligence for financial crime detection
TRM Labs focuses on blockchain intelligence to assist financial institutions, cryptocurrency businesses, and government agencies in identifying and investigating financial crimes and fraud related to cryptocurrencies. The company utilizes advanced data engineering, data science, and threat intelligence to provide tools and insights that help clients combat illicit activities in the crypto sector. TRM Labs serves a wide range of clients, including banks and regulatory bodies, and generates revenue through subscription-based services and customized solutions. Its goal is to enhance the security and integrity of the global financial system by offering comprehensive blockchain analytics and investigative capabilities.