Data Analyst Manager – Model Risk Office

Capital One

Data Analyst Manager creating AI-driven reporting systems and mentoring a team at Capital One. Leading model risk governance efforts with advanced analytics in a fast-paced environment.

Posted 6/12/2026full-timeChicago • Illinois, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $149,800 - $188,100 per yearWebsite

Tech Stack

Tools & technologies

AWSPythonSparkSQLTableau

About the role

Key responsibilities & impact

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 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 brand in new and emerging markets
Leverage analytics to create a customer experience above 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

Requirements

What you’ll need

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
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline preferred
At least 7 years of professional data analysis work experience preferred
At least 4 years of experience with Python, R, Spark or SQL preferred
At least 1 year of experience in people management preferred
At least 1 years of project management experience preferred
At least 1 year of experience in interactive reporting tools such as Tableau or Quicksight preferred
At least 1 years of experience in a Model Risk Management, Risk Governance, or highly regulated financial environment preferred
At least 1 years of experience working with Large Language Models (LLMs) and advanced AI toolsets (e.g., Claude Code, Github Copilot, Gemini, Google Workspace Studio) preferred.
Proficient utilizing and developing within AWS service

Benefits

Comp & perks

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analyticsprogrammingPythonRSparkSQLmodel risk managementdata integrationmachine learningartificial intelligence

Soft Skills

analytical skillsleadershipmentoringcollaborationcommunicationteam managementstrategic thinkingproblem-solvingorganizational skillscustomer experience

Certifications

Bachelor’s DegreeMaster’s Degree