Sr. Manager, Data Analysis
Alabang, Muntinlupa City, Philippines
Capital One
You’re tenacious and driven, so the last place you want to work is some boring bank. Same. Learn about careers at Capital One and view jobs here.Summary:
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.
General Responsibilities:
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
Basic Qualifications:
Educational 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
Amenable to work in a hybrid set up; pre dominantly work from home
Amenable to work in a night shift and or late mid shift schedule
Skills Required:
Possessing strong problem solving and conceptual thinking abilities
Excellent communication skills , interpersonal and leadership skills
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
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).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Data Analytics Data governance Econometrics Economics Engineering Finance Industrial Mathematics Open Source PhD Prototyping Research Statistics
Perks/benefits: Career development
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