Hybrid Lead Assistant Manager – Data Science, Data Scientist

Posted last week

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About the role

  • Design and build credit risk scorecards to predict creditworthiness
  • Extract, clean, and preprocess data from various sources using SQL.
  • Develop and implement machine learning models for collections performance and delinquency prediction using Python.
  • Monitor model performance, conduct backtesting, recalibration, and validation.
  • Collaborate with business and data teams to translate credit risk requirements into modeling specifications.
  • Document modeling processes, assumptions, and results for internal governance and audit purposes.

Requirements

  • Bachelor’s in Engineering or Master’s degree in Statistics, Mathematics
  • Familiarity with credit bureau data and experience working in a BFSI environment.

Job title

Lead Assistant Manager – Data Science, Data Scientist

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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