• Use SQL and other analytical tools to conduct in-depth analysis of Mercury’s customers, transactions, alerts, TM rules, risk ratings, and more. • Use data-driven methods to improve, design, implement, and maintain Mercury’s FCC models, including transaction monitoring, sanctions screening, customer risk scoring, and relevant alert models. • Develop bespoke transaction monitoring rules designed to address Mercury’s specific AML risk. • Partner with Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks. • Know how to tell stories with data, enabling people to understand the output and meaning of analytics activities in a clear, compelling manner. • Understand both the what and the why of FCC analytics – what are we looking for and why does it matter. • Develop and maintain detailed documentation on the configuration of FCC models – scenarios, thresholds, segments, tuning, etc. – and any changes made to those configurations over time. • Assist with evaluating and tuning existing detection models and rules to reduce false positives while maintaining regulatory rigor. • Develop data-driven methods to identify new typologies, emerging risks, and evolving financial crime trends. • Partner with Model Risk Management to support validation and performance monitoring of models to ensure compliance with internal and regulatory standards.