Sr. Manager, Data Analysis

Capital One; Philippines; Hybrid; PHP 1,800,000 - 2,400,000; Full time

Job summary

Capital One Philippines Service Corp. seeks a Sr. Manager, Data Analysis to partner across the company, validate analytical tools, and drive data-driven strategies.

You’ll lead a network of analysts, Quants and data scientists on challenging projects balancing business impact with work/life balance. You will refine validation practices, oversee projects, and mentor junior staff while communicating results through reports and presentations.

Qualifications

• Bachelor’s degree in a quantitative field.
• At least 7 years of experience in data analytics.
• At least 5 years leading with open source data technologies.
• At least 2 years of experience managing people.
• Amenable to hybrid setup in Alabang, Muntinlupa; mid shift.

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.
• Understanding technical issues in analytical tools and assessing risks and opportunities.
• Independently researching and prototyping industry best practices for emerging analytical tools.
• Communicating results clearly via validation reports and presentations.
• Coaching and mentoring junior staff.

Skills

Data analytics

Open source

People management

Communication

Leadership

Education

Bachelor’s degree in quantitative field

Master’s/PhD in Finance, Economics, Statistics, Math, OR related field

Job description

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.

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For technical support or questions about Capital One's recruiting process, please send an email to [e-mail]

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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).