What You’ll Be Doing:

📍Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection. 📍Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams. 📍Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences. 📍Provide technical guidance for engineering projects that incorporate new data points into the investigation team’s toolkit, such as API integrations or internal data transformations. 📍Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks 📍Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies 📍Development of machine learning models 📍Partner with product and engineering team in implementing features and models, and enhancing systems

What We Look For In You:

📍Master’s degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered. 📍4+ years of fraud analytics experience in financial services or FinTechs Crypto/Blockchain experience

If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.