Sr. Manager, Data Analysis

Capital One Muntinlupa City, National Capital Region, Philippines

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Capital One Muntinlupa City, National Capital Region, Philippines

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Alabang (96050), Philippines, Muntinlupa City, National Capital Region (Manila)
Sr. Manager, Data Analysis
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
  

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 ; 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 or via email at 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
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). Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology

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