Data Analyst Manager - Model Risk Office

Capital One; Richmond (VA); On-site; USD 149,800 - 171,000; Full time

Benefits offered by this job

Comprehensive health benefits

Financial support and well-being programs

Flexible work arrangements

Job summary

Capital One is seeking a Data Analysis Manager in Richmond, VA. This role includes building scalable AI/ML models, optimizing data processes, and leading a team of analysts. The ideal candidate will have a robust background in data analytics and programming, ideally with experience in AWS and interactive reporting tools.

The compensation for the role is between $149,800 and $171,000, complemented by comprehensive benefits to support employee well-being.

Qualifications

• 6+ years of experience in data analytics, or 4+ years with a master's degree.
• 4+ years of professional data analysis work experience.
• 1+ year in people and project management.

Responsibilities

• Build and deploy AI/ML models to automate model risk processes.
• Optimize data integration across core systems for model risk metrics.
• Lead a team of junior analysts and mentor their careers.

Skills

Data analytics

Programming

AI/ML model deployment

Data mining

Leadership

Education

Bachelor’s degree in a quantitative field

Master’s degree in a Science, Technology, Engineering, Mathematics discipline

Tools

Python

R

SQL

Tableau

AWS

Job description

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.