Note: The job is a remote job and is open to candidates in USA. Mercury is building a complete finance stack for startups, aiming to simplify financial lives while ensuring safety from financial crimes. As the Financial Crimes Compliance Modeling & Analytics Manager, you will enhance compliance detection models and frameworks, collaborating with various teams to ensure effective risk management and compliance with regulations.
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
- 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
Skills
- Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Statistics, Mathematics, or related)
- 8+ years of experience conducting in-depth data analytics
- 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 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
- 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
- Experience with Python or similar preferred
- Familiarity with modern ML tooling (e.g. scikit-learn, XGBoost) a plus
- Curiosity about how AI/ML is being applied to financial crime detection, and openness to modern tooling as the function evolves
Benefits
- Base salary, equity (stock options/RSUs), and benefits
- The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.
Company Overview
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