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Mercury is building a complete finance stack for startups. We work hard to create the easiest and safest banking* experience possible to simplify entrepreneurs' and business owners’ financial lives. The challenge is to do so while ensuring we protect Mercury, customers and the broader financial ecosystem from bad actors and harmful, illegal or unauthorized activities. The BSA/AML & Sanctions compliance team serves as the oversight function for the overall AML & Sanctions program. As a FCC Modeling and Analytics Manager, you’ll help drive enhancements to our financial crimes compliance (FCC) detection models and help improve Mercury’s overall FCC framework. The Manager will play a critical role in developing, tuning, and maintaining Mercury’s transaction monitoring (TM) and Sanctions models. The Manager will also create the analytics and metrics to track the health of FCC programs and develop executive-level reporting. This technical position requires a strong analytical background and strong FCC subject-matter expertise. The Manager of Modeling and Analytics will collaborate closely with risk strategy, engineering, and compliance teams.
Job Responsibility:
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
Requirements:
12+ years of experience conducting in-depth data analytics
Deep understanding of the FCC/AML fundamentals, including both principles and regulations
Outstanding skills with standard analytical tools
Top-notch SQL skills are required
Experience with Python, R or similar are preferred
Strong ability to turn data and analyses into compelling narratives
7+ years of experience working in FCC or AML-related analytics roles
Experience identifying ways to improve both data-related and operational efficiencies
Have the technical writing skills to translate code into plain English and vice versa