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

Capital One Financial Corporation
Chicago, IL, United States
3 days ago
Apply on www.chicagocareersite.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Experience level
Expert
Experience required
2 years minimum
Compensation
$200,700.0 - $229,100.0
Working hours
Regular working hours

Tech stack

Business Analytics Applications Data Analysis Big Data Data Governance Data Sharing Relational Databases Payment Systems Information Technology Data Analytics

Job description

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

Requirements

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, * 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 this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

About the company

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level., 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).

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.chicagocareersite.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · World Congress 2025

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:18 min

Utilizing AI and public data sharing for urban planning

Christian Wiegand +3 · World Congress 2024

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all