Data Analyst Manager, Model Risk Office

Capital One Financial

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Chicago, ILRichmond, VAMcLean, VA
Salary
$164,800–$188,100 / yr
Employment
Full-time
Posted
137 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k
This role $176k
$131k $223k
below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $140,000–$214,500 — the blue band above. At the midpoint, this role pays about $176k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Data Analyst Manager, Model Risk Office

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The Data Analyst Manager - Model Risk Office joins the Model Risk Governance - Reporting and Automation team to manage enterprise-wide model risk reporting. This role involves leading a team of junior analysts to drive a strategic transformation by replacing legacy reporting with an interactive, GenAI-centric ecosystem. Key responsibilities include building and deploying scalable artificial intelligence and machine learning models, architecting conversational chatbots, and developing multi-agent AI workflows to automate manual processes. The position requires optimizing data integration into centralized infrastructure to create a source of truth for model risk metrics. Candidates must utilize Python, R, Spark, SQL, and AWS services, while leveraging tools like Tableau or Quicksight. The work focuses on solving complex operational efficiency problems within a highly regulated financial environment.

Skills

Python SQL R Spark AWS Tableau QuickSight LLMs GenAI Machine Learning Business Intelligence Data Integration Claude Code Github Copilot Gemini Google Workspace Studio

What you'll do

  • Build and deploy scalable AI and machine learning models to automate model risk management processes and controls.
  • Architect and deploy an interactive, conversational reporting chatbot powered by AI solutions.
  • Develop advanced multi-agent AI workflows to execute complex cognitive tasks and eliminate manual workflows.
  • Optimize data integration across core systems into a centralized, audited "source of truth" for risk metrics.
  • Mine and analyze large, complex databases containing millions to billions of records to extract crucial information.
  • Identify and implement process, data, and reporting improvements to increase operational efficiency.
  • Lead, mentor, and develop a team of junior analysts to elevate their professional careers.
  • Consult on the design and implementation of new production and data storage systems.

What we're looking for

  • Must have a Bachelor’s degree in a quantitative field plus 6 years of data analytics experience, or a Master’s degree plus 4 years.
  • Must have at least 4 years of experience performing professional data analysis work.
  • Must have 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, project management, or interactive reporting tools like Tableau or Quicksight (preferred).
  • At least 1 year of experience in Model Risk Management, Risk Governance, or a highly regulated financial environment (preferred).

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