Sr. Manager, Data Analysis
@ Capital One

Muntinlupa City, National Capital Region, Philippines
$150,000
On Site
Full Time
Posted 23 days ago

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Job Details

Overview

The Sr. Manager, Data Analysis at Capital One partners cross-functionally to validate business impacting analytical tools. With a network of Data Analysts, Quants, and Data Scientists, you will work on challenging projects, influence business strategies and foster team growth.

General Responsibilities

  • Refine an enterprise-wide analytical tools validation framework.
  • Plan and execute validation projects.
  • Assess quality and risk of analytical tool methodologies.
  • Research and prototype industry best practices.
  • Communicate results via reports and presentations.
  • Coach and mentor junior staff.

Basic Qualifications

  • Bachelor’s Degree in a quantitative field.
  • 7+ years in data analytics.
  • 5+ years leading with open source data technologies.
  • 2+ years managing people.
  • Amenable to a hybrid work setup and flexible shifts.
  • Excellent problem solving and communication skills.

Preferred Qualifications

  • Master’s Degree or PhD in a related field.
  • Extensive experience in statistical/econometric work.
  • Proficiency in large data set analysis.
  • Experience in financial services and model validation.
  • Background in data governance and predictive analytics.

Equal Opportunity & Additional Information

Capital One is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration without regards to any protected status. For accommodation requests during the hiring process, contact Capital One Recruiting. For technical support, email Careers@capitalone.com.

Key skills/competency

  • Data Analytics
  • Validation
  • Leadership
  • Risk Assessment
  • Statistical Modeling
  • Communication
  • Research
  • Coaching
  • Open Source Tools
  • Financial Analysis
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How to Get Hired at Capital One

🎯 Tips for Getting Hired

  • Customize your resume: Tailor it to data analytics and leadership.
  • Research Capital One: Understand their mission and recent projects.
  • Highlight technical skills: Emphasize open source and statistical expertise.
  • Prepare for hybrid interviews: Be ready for technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review analytical frameworks and validation techniques.
Practice using open source data technologies.
Update skills in statistical modeling and econometrics.
Study latest tools and risk assessment methods.

Behavioral Questions

Describe a challenging cross-functional project.
Explain your approach to mentoring staff.
How do you prioritize risk in analytics?
Share a conflict resolution experience.

Frequently Asked Questions