Senior Manager, Quantitative Analysis, Model Risk Office

Capital One Financial

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Quick summary

Work type
On-site
Location
McLean, VA
Salary
$229,900–$262,400 / yr
Employment
Full-time
Posted
14 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $246k
$137k $276k
below market most similar roles pay here above market

This role pays more than 87% of similar roles. Most pay $154,775–$221,137 — the blue band above. At the midpoint, this role pays about $246k versus about $188k 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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At a glance

TL;DR · Senior Manager, Quantitative Analysis, Model Risk Office

The Senior Manager, Quantitative Analysis - Model Risk Office joins the Model Risk function to support the Loan Loss Forecasting and Allowance for Credit Losses framework. This role involves partnering with model development teams to provide effective challenge on quantitative models, evaluating conceptual and statistical soundness, performance under economic stress, and alignment with model policy. You will develop alternative model approaches, maintain documentation, and communicate complex technical results to non-specialist audiences. The position requires expertise in retail credit risk, econometric theory, and machine learning. Key technical skills include proficiency in Python, R, and SQL for statistical modeling, linear and logistic regression, time-series analysis, and survival analysis. You will utilize these tools to manage large datasets and ensure model accuracy within a collaborative, Agile development environment.

What you'll do

  • Provide effective challenge on quantitative models regarding conceptual soundness and statistical accuracy.
  • Evaluate model performance under various economic stress scenarios and ensure alignment with model policy.
  • Develop alternative model approaches to assess design and advance future analytical capabilities.
  • Maintain model efficiency and accuracy through continuous improvement and the application of best practices.
  • Develop and maintain high-quality, transparent documentation for all quantitative models.
  • Communicate complex technical concepts and research results to non-specialist audiences and senior management.
  • Leverage open-source technologies to identify areas of opportunity within the existing framework.
  • Apply econometric, statistical, and machine learning skills to assess model risks and opportunities.

What we're looking for

  • Must have a Master’s degree in a quantitative field plus 5 years of experience in quantitative analytics.
  • Must have a PhD in a quantitative field plus 2 years of experience in quantitative analytics.
  • Must have at least 5 years of experience in statistical or econometric modeling.
  • Must have at least 5 years of experience in programming using R, Python, or SQL.
  • Must have at least 5 years of experience in at least 3 of the listed advanced modeling techniques, including machine learning or time-series analysis.
  • Must have experience presenting statistical concepts and research results to non-statistical audiences.
  • Must have experience working with Agile development methodologies.
  • Must have 6 years of experience with Python, R, or other statistical analyst software (preferred).
  • Must have 6 years of experience in statistical modeling, regression analytics, or machine learning (preferred).
  • Must have 2 years of experience managing people (preferred).

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