Data Analyst Manager - Model Risk Office in McLean

Energy Jobline ZR; McLean (VA); Presencial; USD 165.000 - 188.000; Jornada completa

Descripción de la vacante

Capital One in McLean, VA seeks a Data Analyst Manager within the Model Risk Office to lead analytics, automation and AI-driven reporting. You will build scalable AI/ML solutions, deploy a conversational reporting chatbot and guide junior analysts.

The role requires strong Python/SQL skills, experience with AWS, Tableau or QuickSight, and prior leadership or project management in a regulated financial environment.

Formación

• Bachelor’s degree in a quantitative field and 4+ years of data analytics experience or Master’s with 4+ years, as stated in Basic Qualifications.
• 4+ years of professional data analysis work.
• 4+ years of programming experience.

Responsabilidades

• Builds and deploys scalable AI/ML models to automate model risk processes and reporting.
• Architect and deploy an interactive, conversational reporting chatbot powered by AI solutions.
• Lead a team of junior analysts and collaborate across business units.

Conocimientos

Python

SQL

AWS

Tableau

Quicksight

ML/AI

Leadership

Project management

Data governance

LLMs / AI tools

Educación

Bachelor’s degree in quantitative field

Master’s Degree in STEM or quantitative field

Herramientas

Tableau

Quicksight

AWS services

Descripción del empleo

Job DescriptionData 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.

What you’ll do:

• 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

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 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.

Basic 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 6 years of experience performing data analytics, or
  • Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
• At least 4 years of experience performing professional data analysis work
• At least 4 years of experience performing programming

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 years of project management experience
• At least 1 year of experience in interactive reporting tools such as Tableau or Quicksight
• At least 1 years of experience in a Model Risk Management, Risk Governance, or highly regulated financial environment
• At least 1 years of experience working with Large Models (LLMs) and advanced AI toolsets (e.g., Claude Code, Github Copilot, Gemini, Google Workspace Studio).
• Proficient utilizing and developing within AWS service

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

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

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

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

Capital One is an equal opportunity employer (EOE, including /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 for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [e-mail]