Senior Manager, Data Science – Model Risk

Capital One

. Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver customer-focused products .

Posted 11/3/2026full-timeRichmond • Virginia • United StatesSenior💰 $209,000 - $262,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leveraging Python, AWS, and machine learning to analyze large datasets and develop predictive models. Proven ability to translate complex data insights into actionable business strategies while fostering team development and collaboration.

Highest-signal resume keywords

Python ProgrammingMachine Learning ExperienceAWS ProficiencyData Analytics ExpertiseModel Development and Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine LearningModel ValidationStatistical AnalysisDeep LearningClusteringClassificationSentiment AnalysisTime Series AnalysisBacktesting

Soft Skills

Cross-Functional CollaborationProblem SolvingCommunicationTeam DevelopmentLeadership

Tools & Technologies

CondaH2OSparkRelational DatabasesOpen-Source Programming Languages

Industry Keywords

Quantitative FieldModel RiskData ScienceEmerging TechnologiesBusiness Goals

Tech Stack

Tools & technologies

AWSPythonScalaSpark

About the role

Key responsibilities & impact

Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver customer-focused products
Leverage Python, Conda, AWS, H2O, Spark, and other technologies to uncover insights from large volumes of numeric and textual data
Build machine learning models through design, training, evaluation, validation, and implementation
Translate complex technical work into tangible business goals
Defend the company against model failures and improve model-based decision-making in the Model Risk Office
Research and evaluate emerging technologies and apply state-of-the-art methods
Define and solve ambiguous data science problems
Challenge conventional thinking and improve existing processes with stakeholders
Develop talent within the team and broader organization

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a Bachelor's, Master's, MBA with a quantitative concentration, or PhD in a quantitative field, with the required degree obtained by the scheduled start date
Bachelor's degree plus 7 years of experience performing data analytics, or Master's degree/MBA plus 5 years, or PhD plus 2 years
At least 2 years of experience leveraging open-source programming languages for large-scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases
Experience with Python, Conda, AWS, H2O, Spark, and other technologies
Experience developing, validating, and backtesting models
Knowledge of confusion matrices, ROC curves, clustering, classification, sentiment analysis, time series, and deep learning
Experience retrieving, combining, and analyzing data from varied sources and structures
Preferred: PhD in a STEM field plus 4 years of data analytics experience
Preferred: at least 1 year of AWS experience
Preferred: at least 1 year of people management or team-based project leadership
Preferred: at least 5 years of Python, Scala, or R for large-scale data analysis
Preferred: at least 5 years of machine learning experience
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
Reasonable accommodations for applicants who require them
Drug-free workplace