Manager, Data Analyst – Enterprise AML Advisory

• Drive current and future strategy by leveraging analytical skills
• Work with vast amounts of data in new and evolving environments
• Build and maintain interactive dashboards used for regulatory reporting
• Develop KPIs and KRIs to show overall KYC Program Health
• Analyze and interpret compliance key performance metrics
• Provide input on lines-of-business AML risks identified through reporting
• Participate in the full life cycle of projects
• Collaborate across business units and multiple AML groups
• Design and produce reports, forms, and metrics supporting department efficiency and effectiveness
• Capture, maintain, and analyze compliance data
• Interpret compliance data to ensure consistency and adequate Compliance Risk Management
• Identify and analyze data trends and proactively advise on external and internal risks
• Mine large datasets to identify crucial organizational information
• Identify and implement process, data, and reporting improvements
• Work with large and complex databases containing millions to billions of records
• Improve operational efficiency and effectiveness
• Conduct analyses to evaluate processes and tests
• Handle multiple concurrent projects independently and in teams
• Support the Business Intelligence component of the role

• Bachelor's Degree in a quantitative field plus at least 6 years of experience performing data analytics, or Master's Degree plus at least 4 years of experience performing data analytics
• At least 4 years of experience performing professional data analysis work
• At least 4 years of experience performing programming
• Strong understanding of AML risk management practices, including regulatory requirements
• Experience presenting data and recommendations to leadership teams and governance forums
• Strong critical thinking, written and verbal communication skills
• Ability to work in a continually evolving and dynamic environment
• Ability to build partnerships and influence others
• Preferred:
  Master's Degree in a STEM discipline
• Preferred:
  At least 7 years of professional data analysis work experience
• Preferred:
  At least 4 years of experience with Python, R, Spark, or SQL
• Preferred:
  At least 1 year of project management experience
• Preferred:
  At least 1 year of experience in Tableau
• Preferred:
  At least 3 years of experience in Anti-Money Laundering
• Preferred:
  At least 1 year of experience operating and developing within AWS cloud services
• Preferred:
  Certified Anti-Money Laundering Specialist (CAMS) certification
• Capital One will consider sponsoring a new qualified applicant for employment authorization

Demonstrates expertise in data analytics, compliance risk management, and Anti-Money Laundering practices, with a strong ability to analyze large datasets and present actionable insights. Proficient in developing KPIs, dashboards, and reports to enhance operational efficiency and support regulatory requirements.

• Data Analytics
• Anti-Money Laundering (AML) Risk Management
• Python Programming
• Tableau Reporting
• Project Management

• Data Analysis
• KPI Development
• Compliance Data Interpretation
• Data Mining
• Statistical Analysis

• Critical Thinking
• Written Communication
• Verbal Communication
• Collaboration
• Influencing

• Certified Anti-Money Laundering Specialist (CAMS)

• Compliance Risk Management
• Regulatory Reporting
• KYC Program Health
• Data Trends Analysis
• Operational Efficiency

• Tableau
• AWS Cloud Services
• SQL
• R
• Spark