Manager, Data Analyst, Enterprise AML Advisory

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Wilmington, DERichmond, VAMcLean, VAPlano, TXRiverwoods, IL
Salary: $149,800–$171,000 / yr
Employment: Full-time
Posted: 43 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k

This role $160k

$127k $210k

below market most similar roles pay here above market

This role pays less than 56% of similar roles. Most pay $137,287–$202,200 — the blue band above. At the midpoint, this role pays about $160k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2204 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1138 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Analyst, Enterprise AML Advisory

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The Manager, Data Analyst - Enterprise AML Advisory joins the AML Advisory Know Your Customer Risk Management & Analytics team. This role involves guiding lines of business through daily AML challenges by translating intricate compliance needs into actionable guidance. You will drive strategy by leveraging analytical skills to work with vast amounts of data in evolving environments. Key responsibilities include building and maintaining interactive dashboards for regulatory reporting, developing KPIs and KRIs to monitor KYC Program Health, and identifying trends to advise on internal and external risks. The position requires proficiency in Python, R, Spark, SQL, Tableau, and AWS cloud services. You will manage complex databases containing millions to billions of records to improve operational efficiencies and ensure consistent compliance risk management across the organization.

Skills

Python R SQL Spark AWS Tableau Business Intelligence Data Analytics AML Statistical Modeling

What you'll do

Build and maintain interactive dashboards used for regulatory reporting.
Develop KPIs and KRIs to monitor overall KYC Program Health.
Analyze and interpret compliance key performance metrics to identify LOB AML risks.
Mine large and complex databases containing millions to billions of records for crucial information.
Identify and analyze data trends to proactively advise on internal and external risks.
Design and produce reports, forms, and metrics to support department efficiency and effectiveness.
Implement process, data, and reporting improvements to enhance organizational effectiveness.
Capture and analyze compliance data to ensure consistent and adequate Compliance Risk Management.

What we're looking for

Must have a Bachelor’s degree in a quantitative field plus 6 years of data analytics experience, or a Master’s degree plus 4 years.
Must have at least 4 years of experience performing professional data analysis work.
Must have at least 4 years of experience performing programming.
Must have a strong understanding of AML risk management practices and regulatory requirements.
Must have experience presenting data and recommendations to leadership teams and governance forums.
Must possess strong written and verbal communication skills, including experience in strategic and senior level communication.
Master’s Degree in a Science, Technology, Engineering, Mathematics 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 (preferred).

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