Financial Crimes Compliance Modeling & Analytics Manager

Mercury

Financial Crimes Compliance Modeling & Analytics Manager at Mercury refining FCC detection models and analytics. Collaborating closely with risk strategy and compliance teams while building frameworks.

Posted 7/7/2026full-timeRemote • California, New York, Oregon • 🇺🇸 United StatesSeniorLead💰 $149,900 - $208,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL and analytical tools to conduct in-depth data analysis, develop and maintain FCC models, and interpret analytics outputs to identify financial crime risks. Possesses a strong understanding of AML and Sanctions regulations, with a proven ability to partner across teams to translate regulatory requirements into effective analytical frameworks.

Highest-signal resume keywords

SQL ExpertiseAML/Sanctions AnalyticsMachine Learning Model DevelopmentData-Driven Decision MakingRegulatory Compliance Knowledge

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalyticsSQLPythonMachine LearningModel TuningTransaction MonitoringRisk AssessmentData DocumentationStatistical AnalysisOperational Efficiency

Soft Skills

Attention to DetailAdaptabilityStorytelling with DataComfort with AmbiguityHigh Agency

Industry Keywords

Financial Crime ComplianceAMLSanctionsRegulatory RequirementsDetection ModelsRisk RatingsFalse PositivesEmerging RisksData-Related EfficienciesQuantitative Analysis

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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
Develop bespoke transaction monitoring rules and sanctions screening logic
Partner with Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks
Know how to tell stories with data
Interpret analytics outputs to pinpoint which alerts, patterns, or anomalies signal genuine risk
Develop and maintain detailed documentation on the configuration of FCC models
Evaluate and tune existing detection models and rules to reduce false positives
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

What you’ll need

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 with Python or similar preferred
Experience developing, tuning, and maintaining machine learning or rule-based detection models
Experience identifying ways to improve data-related and operational efficiencies
High agency and adaptability
Comfort operating with ambiguity
Exceptional attention to detail

Benefits

Comp & perks

base salary
equity (stock options/RSUs)