Senior Manager, Data Analysis - Data Management Risk and Analysis

Overview

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.

Responsibilities

• Partner cross-functionally with teams throughout the company to validate business impacting analytical tools.
• Enhance your technical and analytical skills, while also working with leaders to influence business strategies.
• Act as a trusted data risk advisor to divisions (first line business units) and technology partners.
• Leverage your deep expertise in data risk management to provide effective challenges, ensuring the company’s data management practices align with both regulatory requirements and enterprise risk appetite.
• Identify potential data risks, influence key stakeholders, and assess data risk across Capital One divisions.
• Engage with product and technology partners, providing insight and influencing the integration of data risk controls into day-to-day operations.
• Refine a new Enterprise-wide analytical tools validation framework.
• Plan and execute validation projects.
• Assess the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes.
• Understand technical issues in analytical tools and assess tools risks and opportunities.
• Independently research, identify, and prototype industry best practices for emerging analytical tools.
• Communicate results clearly and concisely both verbally and through written communications via validation reports and presentations.
• Leverage education, colleagues and training opportunities to develop solutions to business problems.
• Coach and mentor junior staff.
• Build strong relationships with business and technology partners to become a trusted data risk advisor, providing insight into data management risks, guidance on technical control needs to manage data, and shaping risk mitigation strategies across the enterprise.
• Perform gap assessments to identify weaknesses in current data management controls/processes, technical designs, architecture data flow diagrams, and propose actionable recommendations to drive organizational transformation and compliance.

Qualifications

• 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 (preferred).
• 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 (preferred).