Senior Manager, Data Analyst, AML

Capital One Financial

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Richmond, VAMcLean, VAPlano, TXChicago, IL
Salary: $182,500–$208,300 / yr
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k

This role $195k

$126k $220k

below market most similar roles pay here above market

This role pays more than 68% of similar roles. Most pay $135,000–$211,200 — the blue band above. At the midpoint, this role pays about $195k versus about $173k 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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Analyst, AML

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The Sr. Manager, Data Analyst - AML MADI joins a team of analysts, quants, and data scientists to validate business-impacting analytical tools. This role involves refining an enterprise-wide analytical tools validation framework, planning validation projects, and assessing the quality and risk of methodologies across the organization. You will research and prototype industry best practices for emerging tools, identify technical issues, and communicate results through formal validation reports and presentations. Key responsibilities include coaching junior staff and influencing business strategies. The position requires expertise in open source data technologies, statistical or econometric modeling, and predictive analytics. Candidates must demonstrate proficiency in manipulating large data sets and managing data governance. The work focuses on identifying risks and opportunities within analytical tools to ensure robust data-driven decision-making.

Skills

Data Analytics Statistical Modeling Relational Database Open Source Data Technologies Predictive Analytics Data Governance Econometrics Statistics Operations Research

What you'll do

Refine a new enterprise-wide analytical tools validation framework.
Plan and execute validation projects for analytical tools.
Assess the quality and risk of analytical tool methodologies across the company.
Identify and prototype industry best practices for emerging analytical tools.
Communicate results clearly through written validation reports and presentations.
Coach and mentor junior staff members.
Develop solutions to business problems using education and training opportunities.

What we're looking for

Must have a Bachelor’s degree in a quantitative field plus 7 years of data analytics experience, or a Master’s degree plus 5 years of experience.
Must have at least 5 years of experience performing professional data analysis work.
Must have at least 5 years of experience leading and developing with open source data technologies.
Must have at least 2 years of experience managing people.
Master’s Degree or PhD in Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field (preferred).
At least 7 years of experience in statistical or econometrics hands-on work (preferred).
At least 5 years of experience manipulating and performing analysis with large data sets (preferred).
At least 5 years of experience in financial services industry (preferred).

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