Sr. Manager, Data Analysis

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
• Role Requirements:
  
  • Amenable to work in a hybrid set up in Alabang, Muntinlupa; pre dominantly work from home
  • Amenable to work in the 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 (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).