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Job Type

Full Time

Job Description

Responsibilities

  • Lead development and validation of internal risk models including PD, approval optimisation, propensity/conversion models, and internal scorecards
  • Build scalable modelling datasets using bureau data, application, repayment, and alternate data signals such as device metadata, user journey behaviour, and digital footprints
  • Guide modelling approach: sampling, feature engineering, ML/statistical techniques.
  • Partner with Product, Engineering, and Analytics teams to integrate models into production decisioning systems.
  • Build model documentation such as BRDs, methodology notes, validation reports, and monitoring dashboards.
  • Mentor junior data team members and guide analytical best practices.
  • 5–10 years of experience in credit risk model development and validation with experience in personal loans, consumer lending portfolios, or unsecured credit.
  • Proficiency in Python, SQL, and ML/statistical modelling techniques.
  • Hands-on experience with bureau data and alternate data sources.
  • Strong analytical and problem-solving skills.

  • Qualifications


    • Master’s degree in Statistics, Mathematics, or related field.
    • Experience in multi-lender decisioning or credit marketplaces.
    • Location Mumbai only
    • 5-9 Years of experience

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