Data Analyst Manager - Model Risk Office

Model Risk Governance – Reporting and Automation Responsible for managing the enterprise‑wide model risk reporting function and leading a transformation to replace legacy reporting with an interactive, GenAI‑centric reporting ecosystem. What You’ll Do Build and deploy scalable AI/ML models to automate existing model risk management processes, 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 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 part of growing and developing the brand in new and emerging markets. Leverage analytics to create a customer experience above peers. Lead a team of junior analysts, mentoring and elevating their careers. Be 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. On Any Given Day You Will Be Mining data to arrive at specific and crucial information for the organization. Identifying and implementing process, data, and reporting improvements. 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. Basic Qualifications Currently holds, or is in the process of obtaining a: Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related field) plus at least 6 years of experience performing data analytics, or Master’s degree plus at least 4 years of experience performing data analytics, with the expectation the required degree will be obtained by the scheduled start date. At least 4 years of experience performing professional data analysis work. At least 4 years of experience performing programming. Preferred Qualifications Master’s degree in a Science, Technology, Engineering, Mathematics discipline. At least 7 years of professional data analysis work experience. At least 4 years of experience with Python, R, Spark or SQL. At least 1 year of experience in people management. At least 1 year of project management experience. At least 1 year of experience using interactive reporting tools such as Tableau or Quicksight. At least 1 year of experience in a Model Risk Management, Risk Governance, or highly regulated financial environment. At least 1 year of experience working with Large Language Models (LLMs) and advanced AI toolsets. Proficient utilizing and developing within AWS services. Compensation McLean, VA: $164,800 – $188,100 for Data Analysis Manager Richmond, VA: $149,800 – $171,000 for Data Analysis Manager Chicago, IL: $149,800 – $171,000 for Data Analysis Manager Salary ranges are exclusive to candidates hired for these locations; the actual annualized salary will be provided in the offer letter. Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well‑being. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. Legal and EEO Statement 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. Capital One will consider qualified applicants with a criminal history in a manner consistent with applicable laws regarding background inquiries. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. #J-18808-Ljbffr Capital One