Senior Manager Data Analytics - Global Payment Network - Data Governance and Programs

Senior Manager Data Analytics - Global Payment Network - Data Governance and Programs At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. The Senior Manager, Data Analysis will join the Data Governance and Pricing (DGAP) team within the Global Payment Networks (GPN) to manage numerous data adjacent risks. The risks include, for example, the data aspects of Network Conflict Risk (NCR), External Data Sharing (XDS), SCAN Findings, Privacy, Feature and Script Governance, GDPR, CCPA, Interchange Fee Prohibition Act, and more. The candidate will bring a mixture of Data, Risk, and Project Management experience to develop build overarching programs, establish controls and processes to mitigate risks across GPN. The ideal candidate will have an understanding of both the associated risk management frameworks and the applicable policies and standards. On a given day you will be:  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    An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams.

Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. At least 5 years of experience performing 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 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  Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.  The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that