Team manager

1 week ago

Mumbai, India Zyoin Group Full time

Position: Team Manager – Loan Analytics Function: Rural Business Finance Loan Analytics Location: Mumbai We are seeking accomplished professionals with knowledge in modeling, analytics, and financial services . The role involves integrating analytics into end-to-end business solutions and translating data-driven insights into actionable business outcomes. 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, Big Query, 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.

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