Director, Data Analysis - Global Payment Network - Risk Management

Director, Data Analysis - Global Payment Network - Risk Management

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.

As a Director, Data Analysis 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, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

The Global Payment Network - Risk Management team leverages large-scale transaction data, risk modeling, and advanced analytics to inform key strategic decisions regarding how we identify, monitor, and mitigate systemic risks. Your role will be to help execute on our ambitious agenda, which includes reinventing our data reporting architecture, establishing robust governance frameworks for emerging payment types, and integrating predictive risk signals into our core network oversight processes.

On a given day you will be:

• Leading a newly created team of Data Analysts within GPN's Risk Management organization
• 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. The position will be in a fast-paced and entrepreneurial environment where you will handle multiple concurrent projects while working independently and in teams.

Basic Qualifications

• Bachelor’s Degree plus at least 9 years of experience in data analytics, or Master’s Degree plus at least 7 years of experience in data analytics, or PhD plus at least 4 years of experience in data analytics
• At least 5 years of Professional Data Analysis experience
• At least 5 years of People Management experience
• At least 2 years of Big Data technology experience
• At least 2 years of Data Visualization experience

Preferred Qualifications

• Master’s Degree
• 10+ years of Professional Data Analysis experience
• 5+ years of Big Data experience (AWS and Spark)
• 5+ years of cloud native (AWS) data processing experience
• 5+ years of Process Management experience
• 5+ years of Project Management experience
• 5+ years of experience with Python
• 5+ years of Data Governance experience
• 2+ years of experience with streaming data technologies (Kafka, Flink, Spark streaming)

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

This role is Hybrid, with associates expected to consistently spend three days per week in the office.

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 and will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws and regulations.