Financial Crimes Compliance Modeling & Analytics Manager

As part of the journey, we would expect you to:

• 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, and relevant models
• Develop bespoke transaction monitoring rules and sanctions screening logic designed to address Mercury's specific AML and sanctions 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
• Interpret analytics outputs to pinpoint which alerts, patterns, or anomalies signal genuine risk, and articulate why they matter to compliance and business stakeholders
• Develop and maintain detailed documentation on the configuration of FCC models including scenarios, thresholds, segments, tuning, false positive rules, etc., and any changes made to those configurations over time
• Evaluate and tune 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

There are lots of paths that could lead you to be successful in a role like this; we think the strongest candidates will have some combination of the following:

• Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Statistics, Mathematics, or related) with 8+ years of experience conducting in-depth data analytics, ideally with 5+ years in FCC or AML/Sanctions related analytics roles
• Deep understanding of AML and Sanctions fundamentals, including both principles and regulations
• Outstanding skills with standard analytical tools; top-notch SQL skills required, experience with Python or similar preferred, and familiarity with modern ML techniques