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Kissht - Collection Analytics & Modeling Role

Kissht - Collection Analytics & Modeling Role

KisshMumbai, India
21 hours ago
Job description

Description : Job Overview :

  • The role involves developing and optimizing scorecards, early warning models, and segmentation frameworks to improve recovery rates and reduce delinquencies.
  • You will collaborate with risk, operations, and product teams to design data-backed strategies, run A / B tests, and track key collection KPIs.
  • Strong skills in SQL, Python, and BI tools are essential, along with a solid understanding of collection workflows and analytics-driven decision-making.

Key Responsibilities :

  • Develop, monitor, and enhance collection scorecards and early warning models to predict delinquency and optimize recovery efforts.
  • Perform vintage and roll-rate analyses, flow rate tracking, and lag-based recovery modelling.
  • Design segmentation strategies for bucket-wise, geography-wise, and product-wise collections.
  • Partner with operations to run championchallenger strategies and A / B tests to optimize field and digital collections.
  • Build dashboards to track collection KPIs, including DPD movement, cure rates, and agency performance.
  • Work closely with credit policy and risk to ensure collection strategies align with risk appetite and loss forecasts.
  • Collaborate with data engineering and product teams to enable real-time portfolio insights and collector performance analytics.

    • Required Skills :

  • Strong proficiency in SQL, Python, and Excel for data analysis and automation.
  • Experience with statistical modelling, logistic regression, and machine learning techniques for risk prediction.
  • Hands-on with BI tools (Power BI / Tableau / Looker) for visual analytics.
  • Understanding of collection operations workflows, dialler strategies, and agency management KPIs.
  • Ability to translate insights into actionable business recommendations.

    • Preferred Qualifications :

  • 4-10 years of experience in collections or risk analytics within consumer lending.
  • Exposure to digital collection platforms, tele-calling optimization, or field force productivity models.
  • Educational background in Statistics, Mathematics, Economics, Engineering, or related field.

    • (ref : iimjobs.com)

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