Senior Data Scientist: Cash Flow Underwriting

Capital One Financial Corporation

McLean (VA)

On-site

USD 161,800 - 184,600

Full time

14 days+

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Job summary

Capital One is seeking a Principal Associate, Data Scientist for the Cash Flow Underwriting team in McLean, VA. You will build models and features from banking data to forecast creditworthiness and customer behavior, collaborating with data scientists, engineers, and product managers.

You will work with open-source tools and cloud platforms to transform raw data into actionable insights, applying advanced ML techniques to enable risk assessment and better decision-making.

Qualifications

  • Bachelor's degree in a quantitative field plus 5 years of analytics experience
  • Master's degree in a quantitative field or MBA with a quantitative concentration plus 3 years of analytics experience
  • PhD in a quantitative field

Responsibilities

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
  • Leverage a broad stack of technologies – Python, Conda, AWS, H2O, Spark, and more – to reveal insights from large data
  • Build machine learning models through all phases of development, from design through training, evaluation, and implementation
  • Translate complex technical work into tangible business goals

Skills

Python
ML
Statistical modeling
Data analytics

Education

Bachelor's Degree in quantitative field
Master's Degree in quantitative field or MBA with quantitative concentration
PhD in quantitative field

Tools

Conda
AWS
H2O
Spark

Job description

Capital One is seeking a Principal Associate, Data Scientist for the Cash Flow Underwriting team in McLean, VA. You will build models and features from banking data to forecast creditworthiness and customer behavior, collaborating with data scientists, engineers, and product managers.

You will work with open-source tools and cloud platforms to transform raw data into actionable insights, applying advanced ML techniques to enable risk assessment and better decision-making.

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