Data Analyst Manager, Model Risk Office

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Chicago, ILRichmond, VAMcLean, VA
Salary
$164,800–$188,100 / yr
Posted
91 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k
This role $176k
$131k most similar roles pay here $227k

This role pays less than 52% of similar roles. Most pay $140,550–$214,950 — the shaded band above. At the midpoint, this role pays about $176k versus about $178k for comparable roles.

Based on 239 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 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

Data Analyst Manager - Model Risk Office The Data Analyst Manager - Model Risk Office joins the Model Risk Governance - Reporting and Automation team to manage enterprise-wide model risk reporting functions. This role involves building and deploying scalable artificial intelligence and machine learning models to automate existing management processes, controls, and reporting. The individual will architect interactive, conversational chatbots powered by AI solutions and develop multi-agent workflows for complex cognitive tasks. Key responsibilities include optimizing data integration into a centralized source of truth and mentoring junior analysts. Candidates should possess expertise in Python, R, Spark, SQL, and AWS services, alongside experience with Large Language Models and tools like Tableau or Quicksight. The role addresses the critical business problem of replacing legacy reporting systems with an automated, GenAI-centric ecosystem to improve operational efficiency within a highly regulated financial environment.

What you'll do

  • Build and deploy scalable AI and machine learning models to automate model risk management processes and reporting.
  • Architect and deploy an interactive, conversational reporting chatbot powered by advanced AI solutions.
  • Develop multi-agent AI workflows to execute complex cognitive tasks and eliminate manual work.
  • Integrate data from core systems into a centralized infrastructure to create an audited source of truth for metrics.
  • Manage and mentor a team of junior analysts while overseeing their professional development.
  • Analyze large, complex databases containing millions or billions of records to identify process improvements.
  • 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 or a Master's degree with at least 4 years of data analytics experience.
  • Must have at least 6 years of experience performing data analytics if holding a Bachelor's degree.
  • Must have at least 4 years of experience performing professional data analysis work.
  • Must have at least 4 years of experience in programming.
  • Preferred: Master’s Degree in a STEM 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: Experience with LLMs, advanced AI toolsets, AWS services, and interactive reporting tools like Tableau or Quicksight.

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