Senior Manager, Data Science - Credit Review

Capital One Capital One · Banking · McLean, VA +5

This role focuses on building and challenging existing statistical and machine learning models within the credit review domain at Capital One. The Senior Manager will lead a team, leverage technologies like Python, AWS, and Spark, and partner with cross-functional teams to deliver data-driven solutions that impact risk management and enterprise outcomes. The role requires strong technical and statistical skills, with experience in model building, validation, and various ML techniques.

What you'd actually do

  1. Leverage a broad stack of technologies, such as, Python, Conda, AWS, H2O, Spark, and more, to reveal the insights hidden within huge volumes of numeric and textual data
  2. Build statistical and machine learning models to challenge the models in production
  3. Flex your interpersonal skills to translate the complexity of your work into tangible business goals
  4. Partner with a cross-functional team of data scientists, credit risk experts, and product managers to deliver a product customers love

Skills

Required

  • Bachelor's Degree in a quantitative field plus 7 years of experience performing data analytics
  • Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
  • PhD in a quantitative field plus 2 years of experience performing data analytics
  • 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

Nice to have

  • PhD in “STEM” field plus 4 years of experience in data analytics
  • At least 1 year of experience working with AWS
  • At least 5 years’ experience in Python, Scala, or R for large scale data analysis
  • At least 5 years’ experience with machine learning

What the JD emphasized

  • challenge the models in production
  • built models, validated them, and backtested them

Other signals

  • Build statistical and machine learning models to challenge the models in production
  • Partner with a cross-functional team of data scientists, credit risk experts, and product managers to deliver a product customers love
  • You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms
  • You’ve built models, validated them, and backtested them
  • You have experience with clustering, classification, sentiment analysis, time series, and deep learning