Teams at Binance.US

Own end-to-end analysis of payments, chargebacks, and user lifecycle to identify drivers of net loss. Deep-dive into fraud cases, design and evaluate A/B experiments and risk-rule changes, build monitoring dashboards, partner with Risk, Payments, and Product to convert insights into mitigations, and run ad-hoc analyses of emerging loss trends.

Develop and deploy ML-based fraud and risk models to detect financial crime and reduce losses. Design A/B tests, create risk signals and monitoring metrics, build tools and dashboards, provide technical leadership, and perform ad-hoc analyses in collaboration with Risk, Compliance, Product, and Marketing teams.

Conduct supervised AML and compliance investigations into transaction monitoring alerts, KYC/EDD, sanctions indicators, and unusual activity. Gather and analyze customer, account, transaction, and blockchain data; prepare case chronologies and investigative narratives; escalate risks and recommend actions; support SAR material preparation; maintain accurate case records; participate in training and QA; collaborate with cross-functional teams to strengthen controls.