Senior Associate, Data Science – Compliance Model Risk

Capital One

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

Posted 11/12/2026full-timeUnited StatesSenior💰 $123,300 - $154,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and validating machine learning models using Python and AWS, while translating complex data insights into actionable business strategies. Proficient in data analytics and model risk management, with a strong foundation in quantitative fields.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingAWS Cloud ComputingData AnalyticsModel Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalyticsModel ValidationClusteringClassificationSentiment AnalysisTime Series AnalysisDeep LearningSQLStatistical Analysis

Soft Skills

Problem SolvingCommunicationCollaboration

Tools & Technologies

PythonCondaAWSH2OSpark

Industry Keywords

Quantitative FieldData ScienceModel Risk ManagementOpen-Source ToolsCloud Computing Platforms

Tech Stack

Tools & technologies

AWSCloudPythonScalaSparkSQL

About the role

Key responsibilities & impact

Partner with cross-functional data scientists, software engineers, and product managers to deliver customer-focused products
Use Python, Conda, AWS, H2O, Spark, and other technologies to uncover insights from large numeric and textual datasets
Build machine learning models through design, training, evaluation, validation, and implementation
Translate complex data science work into tangible business goals
Research and evaluate emerging technologies and stay current with state-of-the-art methods
Define ambiguous problems, ask questions, and develop solutions
Support Model Risk Office goals by defending against model failures and improving model-based decision-making

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a Bachelor's Degree in a quantitative field plus 2 years of experience performing data analytics, or a Master's Degree in a quantitative field or an MBA with a quantitative concentration
Bachelor's degree fields may include Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field
Experience developing data science solutions using open-source tools and cloud computing platforms
Experience building, validating, and backtesting models
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Ability to retrieve, combine, and analyze data from varied sources and structures
Preferred: Master’s Degree in a STEM field or PhD in a STEM field
Preferred: Experience working with AWS
Preferred: At least 2 years of experience in Python, Scala, or R
Preferred: At least 2 years of experience with machine learning
Preferred: At least 2 years of experience with SQL
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
Reasonable accommodations for applicants who require them