As a State Head - Credit for Mumbai branches, your primary responsibility will be to oversee the underwriting of Loan Against Property (LAP) cases, including both Prime and Sub-Prime cases. You will be required to ensure that the credit evaluation process is carried out efficiently and accurately to mitigate risks associated with lending against property. Your role will involve assessing the creditworthiness of borrowers, analyzing financial data, and making informed decisions to approve or reject loan applications. Additionally, you will be expected to provide guidance and support to the underwriting team, ensuring compliance with internal policies and regulatory requirements. Your expertise in credit underwriting will be crucial in maintaining a healthy loan portfolio and contributing to the overall success of the Mumbai branches.,
Key Responsibilities Collaborate and coordinate across functions to dissect business, product, growth, acquisition, retention, and operational metrics. Execute deep & complex quantitative analyses that translate data into actionable insights Should have a good understanding of various unsecured credit products The ability to clearly and effectively articulate and communicate the results of complex analyses Create a deep-level understanding of the various data sources (Traditional as well as alternative) and optimum use of the same in underwriting. Work with the Data Science team to effectively provide inputs on the key model variables and optimize the cut-off for various risk models Helps to develop credit strategies/monitoring framework across the customer lifecycle (acquisitions, management, fraud, collections, etc.) Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles that are delinquent or working well. Basic Qualifications Bachelors or Master's degree in, Statistics, Economics, Computer Science, or other Engineering disciplines. 2+ years of experience working in Data science/Risk Analytics/Risk Management with experience in building models/Risk strategies or generating risk insights Proficiency in SQL and other analytical tools/scripting languages such as Python or R is a must Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc. Good To Have Exposure to the Fintech industry, preferably digital lending background Exposure to visualization techniques & tools (ref:hirist.tech)
As a State Head - Credit for Mumbai Branches, your role involves leading the credit function for the region. You will be responsible for underwriting Loan Against Property (LAP) cases, including both Prime and Sub-Prime cases. **Key Responsibilities:** - Lead the credit team in underwriting LAP cases - Assess and evaluate Prime and Sub-Prime LAP applications - Ensure adherence to credit policies and guidelines - Manage credit risks effectively - Collaborate with sales and operations teams for seamless loan processing **Qualifications Required:** - Bachelor's degree in Finance, Business Administration, or related field - Proven experience in underwriting LAP cases - Strong analytical and decision-making skills - Knowledge of credit policies and regulatory requirements - Excellent communication and leadership abilities (Note: No additional details of the company were provided in the job description),