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Financial Crimes Compliance Modeling & Analytics Manager

1 month ago
United States, Canada
Full-time
Lead
Data Scientist
Data Science and Analytics
Machine Learning Python Scikit-learn SQL Statistics XGBoost
Apply Now
Mercury

Mercury

Mercury provides online business banking solutions tailored for startups and small businesses, offering streamlined financial workflows and quick application processes to enhance operational efficiency.

Banks
251-1K
Founded 2017
$152M raised
View All Jobs 12

Description

  • Use SQL and other analytical tools to analyze customers, transactions, alerts, TM rules, and risk ratings.
  • Design, implement, maintain, and tune financial crimes compliance models, including transaction monitoring and sanctions screening models.
  • Develop bespoke transaction monitoring rules and sanctions screening logic tailored to Mercury’s AML and sanctions risk.
  • Partner with Compliance, Product, Data, Risk Strategy, Engineering, and Model Risk Management teams on requirements, validation, and monitoring.
  • Translate regulatory requirements into effective analytical frameworks and model configurations.
  • Interpret analytics outputs to identify genuine risk signals, trends, anomalies, and emerging financial crime typologies.
  • Develop and maintain detailed documentation for model configurations, scenarios, thresholds, segments, tuning, and false-positive rules.
  • Evaluate existing detection models and rules to reduce false positives while maintaining regulatory rigor.
  • Build analytics and metrics that track the health and performance of FCC programs.
  • Support model validation and performance monitoring to ensure compliance with internal and regulatory standards.

Requirements

  • Bachelor's degree in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or a related discipline.
  • 8+ years of experience conducting in-depth data analytics, preferably including 5+ years in FCC or AML/Sanctions analytics roles.
  • Deep understanding of AML and Sanctions fundamentals, including principles and regulations.
  • Top-notch SQL skills are required.
  • Experience with Python or similar languages is preferred.
  • Familiarity with modern ML tooling such as scikit-learn and XGBoost is a plus.
  • Experience developing, tuning, and maintaining machine learning or rule-based detection models.
  • Ability to rigorously evaluate model performance and limitations.
  • Experience improving data-related and operational efficiencies.
  • Strong written and verbal communication skills for technical and non-technical stakeholders.

Benefits

  • Competitive base salary with equity in the form of stock options or RSUs.
  • Target base salary range of $166,600–$208,300 for NYC, Los Angeles, Seattle, or the San Francisco Bay Area employees.
  • Target base salary range of $149,900–$187,500 for U.S. employees outside those major metro areas.
  • Target base salary range of CAD $157,400–$196,800 for Canadian employees.
  • Benefits package included as part of total rewards.
  • Reasonable accommodations available during the recruitment process for applicants with disabilities or special needs.
  • Equal employment opportunity and commitment to diversity and belonging.

Interested in this position?

Apply directly on the company website

Apply Now

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