Financial Crimes Compliance Modeling & Analytics Manager

Mercury is building a complete finance stack for startups, simplifying entrepreneurs' and business owners' financial lives while ensuring protection from bad actors and harmful activities.

As Financial Crimes Compliance Modeling & Analytics Manager, you'll drive enhancements to Mercury's financial crimes compliance (FCC) detection and screening models and improve the overall FCC framework.

Responsibilities

• 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
• 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
• 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

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
• 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
• Experience developing, tuning, and maintaining machine learning or rule-based detection models
• 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 capable of synthesizing fragmented technical, operational, and business context into a clear understanding of how models actually work
• High agency and adaptability, able to find the highest-leverage work in a fast-moving environment with evolving priorities
• Curiosity about how AI/ML is being 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

Benefits

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.