Teams at Circle

Leads the data platform engineering team, owning architecture, roadmap, ingestion, orchestration, warehouse, BI, streaming, AI-agent capabilities, data quality, governance, and self-service infrastructure. Manages and develops senior engineers, drives technical standards, reviews designs and code, supports incident response, and partners across engineering, analytics, finance, security, compliance, and risk. Requires hands-on data platform, AI, and technical leadership experience.

Build and evaluate fraud models for onboarding, login, account changes, and money movement. Develop labels, features, sampling strategies, thresholds, and production monitoring to detect account takeover, scams, money mules, and identity fraud. Transition third-party risk models to in-house solutions, measure model performance and drift, collaborate with fraud, risk, operations, and compliance teams, and evaluate AI agent workflows for transaction review and fraud-ring analysis.

Investigate AML alerts, enhanced monitoring reviews, and potentially suspicious activity requiring SAR/STR filings. Conduct screening and adverse media checks, support law enforcement and banking partner requests, ensure regulatory compliance, and manage time-sensitive workflows. Analyze transaction data and blockchain activity, identify financial crime trends, improve detection models and typology coverage, and collaborate with policy, legal, compliance, data, and technology teams. The role may also provide training and feedback to transaction monitoring analysts.