Principal Associate, Data Science – Model Risk Office

Capital One

Data scientist challenging and validating machine-learning models at Capital One. Managing model risk, governance, and executive reporting across Enterprise Services.

Posted 9/10/2026full-timeMcLean • Virginia • 🇺🇸 United StatesJuniorMid-Level💰 $147,100 - $184,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, machine learning model development, and risk assessment across diverse business domains. Proficient in utilizing Python, AWS, and SQL to analyze and validate models while contributing to model governance frameworks.

Highest-signal resume keywords

Python ProgrammingMachine LearningAWS ExperienceData AnalyticsSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalyticsModel ValidationStatistical AnalysisClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningBacktesting

Tools & Technologies

AWSPythonCondaSparkSQL

Industry Keywords

Quantitative FieldModel GovernanceConfusion MatricesROC CurvesData Science Solutions

Tech Stack

Tools & technologies

AWSCloudPythonScalaSparkSQL

About the role

Key responsibilities & impact

Identify and quantify risks associated with models with cross-functional data scientists, software engineers, and product managers
Use Python, Conda, AWS, Spark, and other technologies to analyze large volumes of numeric and textual data
Build machine learning models to challenge production champion models
Contribute to the model governance framework for next-generation machine learning models
Present the business impact of model risks to executives
Validate models across multiple business domains within Enterprise Services
Research and evaluate emerging technologies and state-of-the-art methods
Retrieve, combine, and analyze data from diverse sources and structures

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a required degree by the scheduled start date
Bachelor's Degree in a quantitative field plus 5 years of experience performing data analytics, or Master's Degree in a quantitative field or MBA with a quantitative concentration plus 3 years of experience performing data analytics, or PhD in a quantitative field
Quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related field
Preferred: Master's Degree in a STEM field plus 3 years of experience in data analytics, or PhD in a STEM field
At least 1 year of experience working with AWS
At least 3 years' experience in Python, Scala, or R
At least 3 years' experience with machine learning
At least 3 years' experience with SQL
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Experience with model building, validation, and backtesting
Knowledge of confusion matrices and ROC curves
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Ability to retrieve, combine, and analyze data from varied sources and structures
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Employment authorization sponsorship consideration for a new qualified applicant
Reasonable accommodation support for applicants with disabilities