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Job Description

  • Design and implement a robust data pipeline for collecting, cleaning, and preparing relevant consumer financial data.
  • Conduct exploratory data analysis to identify key features and patterns associated with financial distress.
  • Develop and evaluate various machine learning algorithms
  • Optimize model performance through feature engineering
  • Interpret model results and translate complex statistical concepts into actionable insights
  • Continuously monitor and improve model performance over time.
  • Develop clear and concise documentation for the model development process.
  • Stay up-to-date on the latest advancements in consumer credit modeling and machine learning.