Manager, Quantitative Analysis – Model Risk Audit

Capital One

Manager auditing quantitative models and model risk practices at data-driven Capital One. Applying econometrics, machine learning, and statistical analysis across financial services.

Posted 9/9/2026full-timeMcLean • New York, Texas, Virginia • 🇺🇸 United StatesJunior💰 $179,400 - $245,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in econometric and statistical modeling, with a strong focus on machine learning applications to drive business insights and performance improvements. Proficient in communicating complex quantitative concepts to diverse audiences and maintaining high-quality model documentation.

Highest-signal resume keywords

Master's Degree In Quantitative FieldStatistical ModelingMachine LearningProgramming In R, Python, Or SQLPresentation Of Statistical Concepts

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

Econometric MethodsStatistical AnalysisLinear RegressionLogistic RegressionSurvival Analysis ModelingTime-Series AnalysisPanel Data AnalysisCross-Sectional Data AnalysisModel Estimation ToolsQuantitative Analytics

Soft Skills

Strong Written CommunicationStrong Verbal CommunicationPresentation Skills

Tools & Technologies

Cloud-Based SolutionsData-Driven Solutions

Industry Keywords

Model Risk PracticesAudit Committee AssuranceFinancial InstitutionsLarge Datasets Management

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Apply econometric, statistical, and machine learning methods to generate insights and decision frameworks
Review models and model risk practices across the enterprise
Identify model risk issues and provide assurance to the Audit Committee
Partner with lines of business to enhance modeling and analytical frameworks
Create analytical solutions for challenging business problems across Capital One entities
Apply quantitative methods, machine learning, and automation to improve business performance and process efficiency
Collaborate on cloud-based, data-driven solutions
Develop and maintain high-quality, transparent model documentation
Communicate technical subject matter and modeling results clearly to varied audiences

Requirements

What you’ll need

Master’s degree in a quantitative field or MBA with a quantitative concentration plus 4 years of experience in quantitative analytics, or PhD in a quantitative field plus 1 year of experience in quantitative analytics
Required degree obtained on or before the scheduled start date
At least 4 years of experience in statistical or econometric modeling
At least 4 years of experience in linear and logistic regression
At least 4 years of experience programming in R, Python, or SQL
At least 4 years of experience presenting statistical concepts and research results to non-statistical audiences
At least 4 years of experience in at least 3 of: survival analysis modeling, time-series analysis, panel data analysis, cross-sectional data analysis, machine learning, or analysis and management of large datasets over 1M records
Strong understanding of quantitative analysis methods in relation to financial institutions
Demonstrated track record in machine learning and econometric analysis
Experience utilizing model estimation tools
Ability to clearly communicate modeling results to a wide range of audiences
Strong written, verbal, and presentation skills
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being
Reasonable accommodations for applicants with disabilities