Manager, Data Analyst – Enterprise AML Advisory

Jobtailor; Illinois; On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor in Illinois seeks a senior data analytics professional to drive AML risk management and regulatory reporting through advanced data analysis, dashboards, and KPI development. You will analyze large datasets, present recommendations to leadership, and collaborate across AML groups to improve processes and controls.

The role requires a strong background in data mining, programming, and analytics, with experience in Python/R/Spark and Tableau.

Qualifications

• 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

Responsibilities

• 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

Skills

Data Analytics

AML Risk Management

Python Programming

Tableau Reporting

Project Management

Education

Bachelor's Degree in a quantitative field

Master's Degree in STEM (preferred)

Tools

Tableau

AWS Cloud Services

SQL

R

Spark

Job description

• 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

Requirements

• 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

Core Competencies

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.

Highest-signal resume keywords

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

Hard Skills

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

Soft Skills

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

Certifications & Qualifications

• Certified Anti-Money Laundering Specialist (CAMS)

Industry Keywords

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

Tools & Technologies

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