Senior Manager, Data Analysis - Global Payment Network - Network Risk
Company: Capital One
Location: Mc Lean
Posted on: April 2, 2026
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Job Description:
Senior Manager, Data Analysis - Global Payment Network - Network
Risk 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. This role will be hired as a Capital One associate
but will play a critical part in project execution and delivery for
Discover Financial Services as part of our integration effort. As a
Senior Manager, Data Analysis you will partner cross-functionally
with teams throughout the company to validate business impacting
analytical tools. You will enhance your technical and analytical
skills, while also working with leaders to influence business
strategies. With a network of hundreds of Data Analysts, Quants,
and Data Scientists, challenging projects with an eye on the bottom
line and a focus on work/life balance, we’ve created a dynamic
environment with plenty of room for you to learn, grow, and realize
your full potential. The Global Payment Network - Risk Management
team leverages large-scale transaction data, risk modeling, and
advanced analytics to inform key strategic decisions regarding how
we identify, monitor, and mitigate systemic risks. Your role will
be to help execute on our ambitious agenda, which includes
reinventing our data reporting architecture, establishing robust
governance frameworks for emerging payment types, and integrating
predictive risk signals into our core network oversight processes.
On a given day you will be: Refining a new Enterprise-wide
analytical tools validation framework Planning and executing
validation projects Assessing the quality and risk of analytical
tool methodologies across Capital One, and the nature of tools
usage within those processes Understanding technical issues in
analytical tools and assessing tools risks and opportunities
Independently researching, identifying, and prototyping industry
best practices for emerging analytical tools Communicating results
clearly and concisely both verbally and through written
communications via validation reports and presentations Leveraging
education, colleagues and training opportunities to develop
solutions to business problems Coaching and mentoring junior staff
An ideal candidate will possess strong problem solving and
conceptual thinking abilities in addition to communication,
interpersonal and leadership skills. 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. 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 7 years of experience performing data analytics, or
currently has, or is in the process of obtaining a Master’s Degree
plus at least 5 years of experience performing data analytics with
an expectation that required degree will be obtained on or before
the scheduled start date. At least 5 years of experience performing
professional data analysis work At least 5 years of experience
leading and developing with open source data technologies At least
2 years of experience managing people Preferred Qualifications:
Master’s Degree or PhD in a Finance, Economics, Statistics,
Mathematics, Industrial Engineering, Operations Research, or a
related field At least 7 years of experience in statistical or
econometrics hands-on work At least 5 years of experience
manipulating and performing analysis with large data sets At least
5 years of experience in financial services industry At least 5
years of experience in developing statistical or econometric models
At least 5 years of experience in validating statistical or
econometric models At least 2 years of experience with data
governance At least 2 years of experience with predictive analytics
Capital One will consider sponsoring a new qualified applicant for
employment authorization for this position. This role is Hybrid,
with associates expected to consistently spend three days per week
in the office. 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. McLean, VA: $200,700 - $229,100
for Sr. Data Analysis Manager Richmond, VA: $182,500 - $208,300 for
Sr. Data Analysis Manager Chicago, IL: $182,500 - $208,300 for Sr.
Data Analysis Manager Riverwoods, IL: $182,500 - $208,300 for Sr.
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).
Keywords: Capital One, Bel Air North , Senior Manager, Data Analysis - Global Payment Network - Network Risk, Accounting, Auditing , Mc Lean, Maryland