Staff Data Scientist, Analytics

BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. As a Staff Data Scientist, you will have end-to-end ownership of critical analytics products for TRM’s customers and employees. In collaboration with a highly skilled team of engineers, data scientists, research scientists and go-to-market teams, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime. The products and models you create will be specifically designed to creatively solve new crypto-industry challenges from identifying new threat vectors to building best-in-class blockchain analytics products. These tools will be consumed by prestigious entities such as former FBI, Secret Service, as well as industry leaders in the private sector, enabling them to stay ahead of evolving criminal activities in the cryptocurrency space. The impact you will have here: - Lead the implementation of new advanced analytics products that allow our customers and employees to explore and uncover hidden insights through complex blockchain data such as assessing the risk of DeFi services, stablecoins, global regulations and other crypto-trends. - Lead the roadmap and prioritization of analytics and AI products suite. - Use your high-level business acumen to collaborate with internal teams (GTM, Intelligence, Global Investigation, etc.) and work directly with our customers to understand their challenges and pain points in order to creatively translate them into actionable insights and products. - Develop complex statistical analysis, algorithms, and interactive visualizations that will be consumed by former FBI, Secret Service, and Europol agents and analysts to detect new threat vectors unique to cryptocurrencies and blockchains. - Collaborate with engineers and data scientists to design algorithms to analyze complex data structures inherent to cryptocurrencies and blockchains. This will involve working with distributed ledger technologies, cryptographic protocols, and transactional data to uncover suspicious activities. - As a leader in the team, you will collaborate closely with product managers and analysts to align on project goals, methodologies, and deliverables. You will communicate your findings and insights effectively to both technical and non-technical stakeholders. - Develop your skills through exceptional training as well as frequent coaching and mentoring from colleagues - Establish best practices and statistical rigor around data-driven decision-making What we’re looking for: - Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics. Advanced degree preferred. - You have 8+ years of experience working in an analytical role. - You are outcome-oriented and you have experience in a very face-paced environment. - You have a strong knowledge of relational databases, (e.g. SQL). - You have a strong experience building internal scalable data and analytics products from design to deployment phases that have organisational-level impact. - 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 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 excellent verbal and written communication skills and experience in influencing decisions with information. - You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthes