Data Analyst Manager - Model Risk Office

Data Analyst Manager
- Model Risk Office

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 Model Risk Governance
- Reporting and Automation team sits within the Model Risk Office and serves for providing risk reporting to enterprise and process optimization for the department. Responsible for managing the enterprise‑wide model risk reporting function, the team is actively driving a strategic transformation to replace legacy reporting with an interactive, GenAI‑centric reporting ecosystem. In addition to innovating the reporting function, the team is deploying scalable, cutting‑edge AI solutions—including intelligent multi‑agent architectures—to eliminate repetitive manual workflows, optimize operational efficiency, and minimize human error.

To accelerate this vision, the team has a vital need for forward‑thinking talent eager to execute high‑impact, AI‑powered automation work that transforms how the enterprise visualizes and manages model risk.

• Builds and deploys scalable artificial intelligence and machine learning models to automate existing model risk management process, reporting and controls
• Architect and deploy an interactive, conversational reporting chatbot powered by AI solutions
• Experiment with and develop advanced, multi‑agent AI workflows designed to execute complex cognitive tasks.
• Optimize data integration across core systems into centralized infrastructure to create a highly accurate, audited “source of truth” for model risk metrics
• Drive current and future strategy by leveraging your analytical skills
• Assist with building and using models to test and validate data
• Work with vast amounts of data in new and evolving environments
• Be a part of growing and developing our brand in new and emerging markets
• Leverage analytics to create a customer experience above our peers
• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
• Be a part of the full life cycle of projects and see end results
• Collaborate across business units
• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
• Experience real work life balance, with little travel involved

• Mining data to arrive at specific and crucial information for the organization
• Identifying and implementing process, data, and reporting improvements for the organization
• Working with large and complex databases containing millions to billions of records
• Improving operational efficiencies and effectiveness
• Conducting analysis to evaluate processes and tests
• Extracting and analyzing data to gauge product offerings
• Consulting on the design and implementation of new production and data storage systems
• Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. 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.

This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

• 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 6 years of experience performing data analytics, or
• Master’s Degree plus at least 4 years of experience performing…