Data Analyst Manager - Model Risk Office

Capital One; Chicago (IL); Sur place; USD 149 800 - 171 000; Plein temps

Avantages offerts par ce poste

Comprehensive health benefits

Performance-based incentive compensation

Opportunity for sponsorship for employment authorization

Résumé du poste

Capital One National Association in Chicago is seeking a Data Analyst Manager to lead the Model Risk Office's AI initiatives and reporting functions. The role involves building AI models to automate risk management processes and collaborating with cross-functional teams.

The ideal candidate will have at least 6 years of data analysis experience, strong leadership abilities, and proficiency in AI technologies. Benefits include a competitive salary and the opportunity to work in a fast-paced, innovative environment.

Qualifications

• Bachelor’s Degree in quantitative field plus at least 6 years of data analytics experience.
• Master’s Degree plus at least 4 years of experience with expected graduation before start date.
• At least 4 years of professional data analysis and programming experience.

Responsabilités

• Build and deploy scalable AI and ML models for risk management.
• Architect and deploy an interactive AI-powered reporting chatbot.
• Analyze large datasets for strategic insights.
• Lead and mentor junior analysts.

Connaissances

Data analysis

Programming

Statistical modeling

Python

R

SQL

Machine learning

Leadership

Formation

Bachelor's or Master's Degree in a quantitative field

Outils

Tableau

Quicksight

AWS services

Description du poste

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.

What you’ll do:

• Build and deploy 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

• • 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.

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 in 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 (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.

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

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 the Capital 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. No agencies please. 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 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.

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).