Sr. Manager, Data Analysis
Quick Summary
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,
Educational Background: Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics,
As a Sr Manager, Data Analyst, 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.
Responsibilities
~1 min read- →
Refining a new Enterprise-wide analytical tools validation framework
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Planning and executing validation projects
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Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes
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Understanding technical issues in analytical tools and assessing tools risks and opportunities
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Independently researching, identifying, and prototyping industry best practices for emerging analytical tools
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Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations
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Leveraging education, colleagues and training opportunities to develop solutions to business problems
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Coaching and mentoring junior staff
Requirements
~3 min readEducational Background: Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)
Professional Experience:
At least 7 years of experience in data analytics
At least 5 years of experience leading and developing with open source data technologies
At least 2 years of experience managing people
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Amenable to work in a hybrid set up in Alabang, Muntinlupa; pre dominantly work from home
Amenable to work in the mid shift schedule
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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
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).
Possessing strong problem solving and conceptual thinking abilities
Excellent communication skills , interpersonal and leadership skills
Location & Eligibility
Listing Details
- Posted
- September 4, 2026
- First seen
- September 28, 2026
- Last seen
- September 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 17%
- Scored at
- September 28, 2026
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