Business Manager - Modeling and Advanced Data Insights

Capital One Capital One · Banking · McLean, VA +2

This role focuses on leading the development, deployment, and monitoring of machine learning models for Anti-Money Laundering (AML) within a financial institution. It involves managing the model lifecycle, ensuring governance and compliance, and handling regulatory requests. The role requires experience in advanced analytics, statistics, and machine learning, with a focus on financial risk management.

What you'd actually do

  1. Model Lifecycle Management: Lead advanced machine learning model development, continuous performance monitoring, and ongoing maintenance.
  2. Governance & Compliance: Oversee model governance and ensure full alignment with internal risk frameworks.
  3. Audit & Regulatory Leadership: Serve as the primary lead for handling all related internal audit and OCC regulatory requests.
  4. Develop business strategies that will drive growth, profitability, and competitive success for Capital One in the face of shifting consumer and regulatory demands
  5. May manage and develop 1-2 analysts. Coaching and mentoring associates with a goal of developing and retaining talent at Capital One

Skills

Required

  • At least 3 years of professional experience performing analysis
  • Bachelor's Degree in a quantitative field or higher
  • Experience in financial services
  • Experience in AML, Sanctions, Compliance, Risk or Fraud
  • Experience in model design, development and deployment
  • Experience with supervised machine learning models
  • Experience with Python, SQL, or AWS

Nice to have

  • Master’s Degree in Business or quantitative field
  • 5+ years of experience in analysis
  • 2+ years of experience in people management
  • 1+ year of experience in consulting

What the JD emphasized

  • end to end development, deployment, and monitoring of these critical risk management models
  • model governance
  • internal risk frameworks
  • internal audit
  • OCC regulatory requests
  • advanced analytic techniques, statistics, and machine learning models

Other signals

  • modernize the way Capital One identifies potential money laundering, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models
  • end to end development, deployment, and monitoring of these critical risk management models
  • Lead advanced machine learning model development, continuous performance monitoring, and ongoing maintenance
  • Oversee model governance and ensure full alignment with internal risk frameworks
  • Serve as the primary lead for handling all related internal audit and OCC regulatory requests