AML Modeling & Data Insights Manager

Capital One

Richmond (TX)

On-site

USD 149,800 - 188,100

Full time

14 days+

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Benefits offered by this job

Health benefits
Performance-based incentives
Professional development

Job summary

Capital One seeks a Business Manager to lead Modeling and Advanced Data Insights. You will drive end-to-end ML model development, governance, and regulatory responsiveness, aligning analytics with strategic business goals.

Role emphasizes leadership of 1–2 analysts, cross-functional collaboration, and delivering insights to improve credit risk and product strategies while navigating a fast-paced financial services environment.

Qualifications

  • At least 3 years of professional experience performing analysis.
  • Bachelor's Degree in a quantitative field or higher.
  • Master's Degree in a quantitative field or MBA with quantitative concentration preferred.
  • 1+ year of experience in AML, Sanctions, Compliance, Risk or Fraud, is a plus.

Responsibilities

  • Lead advanced machine learning model development, continuous performance monitoring, and ongoing maintenance.
  • Oversee model governance and ensure alignment with internal risk frameworks.
  • Serve as the primary lead for handling internal audit and OCC regulatory requests.
  • Develop business strategies to drive growth, profitability, and competitive success for Capital One.

Skills

Executive communication
Analytical mindset
Leadership
Problem solving

Education

Bachelor's Degree in quantitative field
Master's Degree or MBA with quantitative concentration

Tools

Python
SQL
AWS

Job description

Capital One seeks a Business Manager to lead Modeling and Advanced Data Insights. You will drive end-to-end ML model development, governance, and regulatory responsiveness, aligning analytics with strategic business goals.

Role emphasizes leadership of 1–2 analysts, cross-functional collaboration, and delivering insights to improve credit risk and product strategies while navigating a fast-paced financial services environment.

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