Team Manager – Loan Analytics

Position:

Function:

Location:

modeling, analytics, and financial services

Key Responsibilities:

• Analyze large datasets to identify trends, correlations, and patterns related to loan performance, customer behavior, and market dynamics.
• Develop and maintain

  predictive models

  to assess credit risk, predict default probabilities, and optimize loan approval & collection processes.
• Collaborate with product teams to design and launch new loan products (Gold Loan, Business Loan, Rural Loan against properties, etc.).
• Conduct ad-hoc analyses for product development, pricing optimization, and market segmentation.
• Provide insights to improve underwriting criteria, loan origination processes, and customer targeting strategies.
• Stay updated with

  industry trends, regulatory changes, and best practices

  in rural business lending.
• Work with IT & data engineering teams to ensure data quality, integrity, and accessibility.
• Lead the development of model methodologies, algorithms, and diagnostic tools for testing robustness, sensitivity, and stability.

Desired Skills & Experience:

• 6–10 years

  of experience in

  R, Python, PL/SQL

  (preferably MS SQL Server).
• Strong background in the

  BFSI domain

  (Banks, NBFCs, Microfinance).
• Good understanding of

  Micro Finance Credit Bureau data

  .
• Proficiency in statistics and tools like

  R, Python, SAS

  .
• Familiarity with

  SQL

  and relational databases.
• Ability to work with unstructured data and derive actionable insights.
• Experience with

  Google Cloud Platform, BigQuery, Vertex AI

  is a plus.
• Strong problem-solving, business acumen, and ability to link data mining to business impact.
• Knowledge of at least one advanced modeling technique: Logistic Regression, Linear Regression, Bayesian Modeling, Classification, Clustering, Neural Networks, or Multivariate Statistics.