Senior Manager, Data Science – Model Risk

Capital One

. Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love .

Posted 10/30/2026full-timeUnited StatesSenior💰 $209,000 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leveraging Python, AWS, and machine learning techniques to analyze large datasets and build 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 LearningAWSData AnalyticsModel Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine Learning ModelsRelational DatabasesClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningModel BacktestingConfusion Matrices

Soft Skills

Cross-Functional CollaborationStakeholder EngagementTalent DevelopmentProblem SolvingCommunication

Tools & Technologies

CondaH2OSpark

Certifications & Qualifications

Bachelor's Degree in Quantitative FieldMaster's Degree in Quantitative Field or MBAPhD in Quantitative Field

Industry Keywords

Data ScienceData AnalyticsMachine LearningPredictive ModelingEmerging Technologies

Tech Stack

Tools & technologies

AWSOpen SourcePythonSpark

About the role

Key responsibilities & impact

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage Python, Conda, AWS, H2O, Spark, and other technologies to reveal insights in large volumes of numeric and textual data
Build machine learning models through design, training, evaluation, validation, and implementation
Translate complex work into tangible business goals
Challenge conventional thinking and work with stakeholders to identify and improve the status quo
Develop talent for the team and beyond
Research and evaluate emerging technologies and apply state-of-the-art methods, technologies, and applications

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a Bachelor's Degree in a quantitative field plus 7 years of experience performing data analytics; or a Master's Degree in a quantitative field or MBA with a quantitative concentration plus 5 years of experience; or a PhD in a quantitative field plus 2 years of experience
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 building, validating, and backtesting models
Experience interpreting confusion matrices and ROC curves
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

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
Employment authorization sponsorship consideration for a new qualified applicant
Reasonable accommodations for applicants who require them