Financial Crimes Compliance Modeling & Analytics Manager

About the role

The BSA/AML & Sanctions compliance team oversees Mercury's AML & Sanctions program. The Financial Crimes Compliance Modeling & Analytics Manager will enhance FCC detection and screening models, develop and maintain transaction monitoring and sanctions screening models, and build analytics to track FCC program health.

Responsibilities

• Conduct in-depth analysis of customer, transaction, alert, TM rules, risk ratings, and more using SQL and other analytical tools
• Use data-driven methods to improve, design, implement, and maintain FCC models, including transaction monitoring, sanctions screening, and relevant models
• Develop bespoke transaction monitoring rules and sanctions screening logic tailored to Mercury's specific AML and sanctions risk
• Partner with Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks
• Tell stories with data to enable stakeholders to understand the output and its significance
• Interpret analytics outputs to identify genuine risk signals and communicate their importance to compliance and business stakeholders
• Create and maintain detailed documentation on FCC model configurations, including scenarios, thresholds, segments, tuning, false positive rules, and changes over time
• Evaluate and tune existing detection models and rules to minimize false positives while maintaining regulatory rigor
• Identify new typologies, emerging risks, and evolving financial crime trends using data-driven methods
• Support Model Risk Management to validate and monitor model performance against internal and regulatory standards

Requirements

• 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 tooling (e.g. scikit-learn, XGBoost) a plus
• Experience developing, tuning, and maintaining machine learning or rule-based detection models, with an understanding of how to rigorously challenge model performance and limitations
• Experience identifying ways to improve both data-related and operational efficiencies
• A healthy dose of skepticism combined with a constructive, solution-oriented approach
• Comfort operating with ambiguity and synthesizing technical, operational, and business context into a clear understanding of model functionality
• High agency and adaptability, capable of finding high-leverage work in a fast-moving environment with evolving priorities
• Curiosity about how AI/ML is applied to financial crime detection, and openness to modern tooling as the function evolves
• Exceptional attention to detail across documentation, testing artifacts, and quantitative analysis
• Strong written and verbal communication skills; able to explain model risk and analytics findings to both technical and non-technical stakeholders

Qualifications

• Experience with financial crime detection and prevention
• Knowledge of AML and Sanctions regulations
• Proficiency in SQL and other analytical tools
• Experience with Python or similar programming languages
• Familiarity with machine learning and rule-based detection models

Skills

• Data analysis
• Model development and tuning
• Transaction monitoring and sanctions screening
• Compliance and risk management
• Communication and storytelling with data

Benefits

Mercury offers a comprehensive benefits package including base salary, equity (stock options/RSUs), and benefits.