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1.0 - 6.0 years
6 - 16 Lacs
Mumbai, Pune
Work from Office
Role & responsibilities Work Areas - As part of the Credit Portfolio Risk Analytics (CPRA) Wholesale team the candidate would be working on: 1. Develop statistical PD models to accurately capture inherent credit risk in underwriting and track model performance on an ongoing basis 2. Estimate risk parameters such as PD, LGD and CCF to be used for Banks risk management and reporting purposes 3. Develop Risk Dashboard covering various dimensions to monitor the portfolio, conduct industry analysis and outlook assessment 4. Designing of new early warning triggers by tapping various internal/external sources, rollout of various MIS pertaining to internal ratings 5. Regulatory reporting as per Basel capital computation standards (Standardized and Advanced IRB approach), provisioning computations as per IndAS, IFRS and CECL guidelines ensuring SOX compliance 6. Develop advanced analytics models making use of machine learning for predicting credit risk 7. Conduct Stress testing on the Banks portfolio under various scenarios i.e. Concentration, Climate risk etc. 8. Conduct detailed product analysis and outlook assessment for risk management using various data sources both internal and external such as Bureau etc. 9. Maintenance and revision of various credit risk and regulatory policies 10. Presentation and review with senior management Qualification - 2 years full time Post-graduate degree (preferably in Statistics or an MBA or Economics degree with a strong quantitative underpinning)
Posted 3 weeks ago
7 - 12 years
12 - 22 Lacs
Varanasi
Work from Office
Roles and Responsibilities Develop credit risk models using Python, SAS, and SQL to analyze large datasets. Create financial models for portfolio monitoring and NPA analysis. Prepare MIS reports on a regular basis to track key performance indicators (KPIs) such as delinquency rates, loss forecasts, etc. Collaborate with stakeholders to identify areas of improvement in the credit risk management process. Provide insights from data analysis to inform business decisions related to lending operations. Desired Candidate Profile 7-12 years of experience in Credit Risk Management or a related field. Strong understanding of EWS, Financial Modelling, Financial Ratios, Portfolio Monitoring, NPA Analysis, Risk Dashboard concepts. Proficiency in programming languages like Python and SQL; ability to work with large datasets.
Posted 1 month ago
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