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-timeUnited StatesSenior💰 $209,000 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

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

Highest-signal resume keywords

Python ProgrammingMachine LearningAWS ExperienceData AnalyticsModel Validation

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

Data AnalysisMachine Learning ModelsClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningRelational DatabasesModel BacktestingStatistical Analysis

Soft Skills

Cross-Functional CollaborationTalent DevelopmentProblem SolvingInnovative ThinkingCommunication

Tools & Technologies

CondaH2OSparkAWSPython

Industry Keywords

Quantitative FieldData AnalyticsRisk ManagementEmerging TechnologiesOpen Source Programming

Tech Stack

Tools & technologies

AWSOpen SourcePythonScalaSpark

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 analyze large volumes of numeric and textual data
Build machine learning models through design, training, evaluation, validation, and implementation
Translate complex analytical work into tangible business goals
Challenge conventional thinking and identify opportunities to improve the status quo
Develop talent within the team and beyond
Research and evaluate emerging technologies and apply state-of-the-art methods
Defend the company against model failures and improve decision-making in Risk Management and the Enterprise

Requirements

What you’ll need

Bachelor's Degree in a quantitative field plus 7 years of experience performing data analytics, or Master's Degree/MBA with quantitative concentration plus 5 years of experience, or 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 with Python, Conda, AWS, H2O, Spark, and related technologies
Experience building, validating, and backtesting models
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Preferred: PhD in STEM plus 4 years of experience in data analytics
Preferred: at least 1 year of experience with AWS
Preferred: at least 1 year of experience managing people
Preferred: at least 5 years' experience in Python, Scala, or R for large scale data analysis
Preferred: at least 5 years' experience with machine learning
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
Employment authorization sponsorship may be considered for a new qualified applicant