Back to jobs

Manager, Data Analyst - Enterprise AML Advisory

Pay
$149,800–171,000/yearRange for Wilmington, DE. Other locations have their own ranges. Annual period assumed — pay source
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $149,800 - $171,000 for Data Analysis Manager McLean, VA: $164,800 - $188,100 for Data Analysis Manager
Plano, TX: $149,800 - $171,000 for Data Analysis Manager McLean, VA: $164,800 - $188,100 for Data Analysis Manager Richmond, VA: $149,800 - $171,000 for Data Analysis Manager
McLean, VA: $164,800 - $188,100 for Data Analysis Manager Richmond, VA: $149,800 - $171,000 for Data Analysis Manager Riverwoods, IL: $149,800 - $171,000 for Data Analysis Manager
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Pay by location

Plano, TX
$150K–$171K
McLean, VA
$165K–$188K

Before you apply

Work authorization
Sponsors visas

What you’ll work on

Full posting
  • Build and maintain interactive dashboards used for regulatory reporting

  • Develop KPIs and KRIs to show overall KYC Program Health

  • Analyze compliance metrics and advise lines of business on AML risks

  • Mine large databases of millions to billions of records for key information

  • Identify process, data, and reporting improvements

From the employer’s posting
Build and maintain interactive dashboards used for regulatory reporting
Develop KPIs and KRIs to show overall KYC Program Health
Analyze/interpret compliance key performance metrics and provide input on LOB AML risks identified through reporting
Working with large and complex databases containing millions to billions of records
Identifying and implementing process, data, and reporting improvements for the organization

What you’ll bring

All qualifications

Core experience

  • Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related 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 with an expectation that required degree will be obtained on or before the scheduled start date.

Preferred experience

  • Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
Qualification wording
Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related 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 with an expectation that required degree will be obtained on or before the scheduled start date.
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
Education & alternatives
- Currently has, or is in the process of obtaining a: - Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related 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 with an expectation that required degree will be obtained on or before the scheduled start date.
- Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related 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 with an expectation that required degree will be obtained on or before the scheduled start date. - At least 4 years of experience performing professional data analysis work
Preferred Qualifications: - Master’s Degree in a Science, Technology, Engineering, Mathematics discipline - At least 7 years of professional data analysis work experience
Apply at Capital One

Posting record

Report an error
Status in our records
Live
First seen by us
Sep 12, 202663 days ago
Recorded sightings
140
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$150K–$171K against $94.4K–$145K, the middle half of what similar US postings state.

From 2,036 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 63

Up longer than most. Similar jobs usually come down between day 5 and day 43.

Well past Capital One’s usual: its jobs come down by about day 30.

From 14,728 similar postings that came down, and 314 of Capital One’s. Coming down is not always a hire.

Capital One is hiring

290 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 4% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • AWS
  • Spark
  • Tableau
Where the posting names them
- At least 7 years of professional data analysis work experience - At least 4 years of experience with Python, R, Spark or SQL - At least 1 years of project management experience
- At least 3 year of experience in Anti-Money Laundering - At least 1 year of experience operating and developing within AWS cloud services. - Certified Anti-Money Laundering Specialist (CAMS) certification
- At least 1 years of project management experience - At least 1 year of experience in Tableau - At least 3 year of experience in Anti-Money Laundering

Your next step

Complete your application on capitalone.wd12.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About Capital One

People
About 76,300 in 2025, up 45% from the year before.Annual report (SEC Form 10-K)
Company
Listed as COF.
H-1B visas
251 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Analyst roles

New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 993, the most 1,515, and the latest week had 1,515.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Manager, Data Analyst - Enterprise AML Advisory

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. 

AML Advisory Overview:

Enterprise AML Advisory within AML Compliance fulfills the critical role of guiding our lines of businesses through day to day AML Challenges while serving as the face to the overall AML program; translating the intricate compliance needs as the LOB continues to evolve their business.

Specifically, the AML Advisory Know Your Customer Risk Management & Analytics team  is a small group of resourceful and highly motivated professionals that deliver horizontal business risk  guidance and program management guidance.

The Person

  • Strong critical thinking, written and verbal communication skills, including experience in strategic and senior level communication

  • Demonstrated ability to work in a continually evolving and dynamic environment

  • Ability to build partnerships with others outside of their own team and influence others to ensure team’s success 

  • Exhibit drive for accomplishing tasks/delivering results and persist when faced with significant difficulties or resistance

  • Strong understanding of AML risk management practices, including regulatory requirements

  • Experience presenting data and recommendations to leadership teams and governance forums

What you’ll do:  

  • Drive current and future strategy by leveraging your 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

  • Be a part of growing and developing our brand in new and emerging markets 

  • Analyze/interpret compliance key performance metrics and provide input on LOB AML risks identified through reporting.

  • Be a part of the full life cycle of projects and see end results  

  • Collaborate across business units  

  • Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority 

  • Partner with multiple groups across AML in analyzing and reporting on KYC Data

On any given day you will be: 

  • Design and produce reports/forms/metrics used to support department efficiency and effectiveness.

  • Assist in capturing, maintaining, and analyzing compliance data, interpreting it to ensure consistency and adequate Compliance Risk Management.

  • Identify and analyze trends in data and proactively advise on identified external and internal risks.

  • Mining data to arrive at specific and crucial information for the organization  

  • Identifying and implementing process, data, and reporting improvements for the organization  

  • Working with large and complex databases containing millions to billions of records  

  • Improving operational efficiencies and effectiveness  

  • Conducting analysis to evaluate processes and tests  

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

  • Currently has, or is in the process of obtaining a:

    • Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related 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 with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 4 years of experience performing professional data analysis work

  • At least 4 years of experience performing programming

Preferred Qualifications:  

  • Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

  • At least 7 years of professional data analysis work experience

  • At least 4 years of experience with Python, R, Spark or SQL 

  • At least 1 years of project management experience 

  • At least 1 year of experience in Tableau

  • At least 3 year of experience in Anti-Money Laundering

  • At least 1 year of experience operating and developing within AWS cloud services.

  • Certified Anti-Money Laundering Specialist (CAMS) certification

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Plano, TX: $149,800 - $171,000 for Data Analysis Manager


 

McLean, VA: $164,800 - $188,100 for Data Analysis Manager


 

Richmond, VA: $149,800 - $171,000 for Data Analysis Manager


 

Riverwoods, IL: $149,800 - $171,000 for Data Analysis Manager


 

Wilmington, DE: $149,800 - $171,000 for Data Analysis Manager


 


 


 


 


 


 

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $149,800 - $171,000 for Data Analysis Manager McLean, VA: $164,800 - $188,100 for Data Analysis Manager
More source context
Plano, TX: $149,800 - $171,000 for Data Analysis Manager McLean, VA: $164,800 - $188,100 for Data Analysis Manager Richmond, VA: $149,800 - $171,000 for Data Analysis Manager

More relevant text appears in the full description.

Location & working pattern

Wilmington, DE

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Certified Anti-Money Laundering Specialist (CAMS) certification Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.