Senior Associate, Data Scientist - Consumer Credit Risk Models and Data

Capital One Capital One · Banking · McLean, VA

This role focuses on building and deploying machine learning models for consumer credit risk, including loss, account volume, and balance predictions. It involves developing models through all phases of development, from design to implementation, and optimizing model pipelines and execution platforms on AWS using Python, Spark, and H2O.

What you'd actually do

  1. Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
  2. Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
  3. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  4. Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Skills

Required

  • Python
  • AWS
  • H2O
  • Spark
  • SQL
  • machine learning
  • data analytics

Nice to have

  • Scala
  • R
  • PhD in STEM
  • Master's Degree in STEM

What the JD emphasized

  • Consumer Credit Risk Management Models and Data Team
  • sophisticated econometric loss models
  • predictive models for losses, account volumes and outstanding balances
  • regulatory environment
  • deployment & platform side of the team
  • deploy, optimize and modernize model pipelines and execution platforms
  • machine learning models
  • huge volumes of numeric and textual data
  • Build machine learning models through all phases of development
  • training, evaluation, validation, and implementation

Other signals

  • deploying, optimizing and modernizing model pipelines
  • machine learning models to provide powerful insights
  • build machine learning models through all phases of development