Senior Manager Data Analytics - Global Payment Network - Data Governance and Programs
About the role
Capital One’s Data Governance and Pricing (DGAP) team within Global Payment Networks (GPN) seeks a Senior Manager, Data Analysis to manage data-adjacent risks such as Network Conflict Risk (NCR), External Data Sharing (XDS), SCAN Findings, Privacy, Feature and Script Governance, GDPR, CCPA, and Interchange Fee Prohibition Act. The role involves developing overarching programs, establishing controls, and mitigating risks across GPN by leveraging data, risk, and project management expertise alongside an understanding of risk management frameworks and applicable policies and standards.
Responsibilities
- Refine a new enterprise-wide analytical tools validation framework
- Plan and execute validation projects
- Assess the quality and risk of analytical tool methodologies and their usage within processes
- Understand technical issues in analytical tools and assess risks and opportunities
- Independently research, identify, and prototype industry best practices for emerging analytical tools
- Communicate results clearly and concisely through validation reports and presentations
- Leverage education, colleagues, and training to develop solutions to business problems
- Coach and mentor junior staff
Requirements
- Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related) plus at least 7 years of data analytics experience, or
- Master’s degree plus at least 5 years of data analytics experience, with required degree obtained on or before the scheduled start date
- At least 5 years of professional data analysis work
- At least 5 years of experience leading and developing with open source data technologies
- At least 2 years of experience managing people
Preferred Qualifications
- Master’s degree or PhD in Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or related field
- At least 7 years of hands-on statistical or econometrics work
- At least 5 years manipulating and analyzing large data sets
- At least 5 years in the financial services industry
- At least 5 years developing statistical or econometric models
- At least 5 years validating statistical or econometric models
- At least 2 years of experience with data governance
- At least 2 years of experience with predictive analytics
Pay
Full-time annual salary ranges by location:
- McLean, VA: $200,700 – $229,100
- Richmond, VA: $182,500 – $208,300
- Chicago, IL: $182,500 – $208,300
- Riverwoods, IL: $182,500 – $208,300
Actual salary will be reflected in the candidate’s offer letter. Eligibility for performance-based incentive compensation (cash bonus and/or long-term incentives) may apply.