Risk Modelling
- Develop Risk scorecards through all stages of credit lifecycle viz. Acquisition, Behaviour & Collections.
- Build Statistical Models both exploratory and predictive in nature catering to business problems leveraging statistical tools like SAS, R, SPSS Modeller.
- Maintain Inventory of all Models used across the Risk veticals.
- Creation and maintenance of a robust and detailed Model Governance policy and ensuring strict adherence.
- Direct the development of more complex databases, program models to extract data and use databases to provide statistical and financial modeling ( viz. Debt Estimation, Income Estimation, Multiplier Model etc.)
- Understanding of Risk Appetite framework and databases which can be leveraged for creating models and segmentations
- Quarterly Model Monitoring of all models under the purview of the job.
- Utilize industry best practices, advanced modeling techniques, supplemented by expert judgment and qualitative evaluation, to drive a program of validation and independent review that meets the requirements and framework as defined by regulation and policy
. Big Data Analytics
- Using big data to calculate and translate data into meaningful insights and review unformatted data that supports modeling on a single data or various targets
- Data algorithms - Use past business behavior to find the pattern to achieve service/business automation
- Machine learning - Translate file structures and technical issues for view in data modeling
- Execute analytical projects and leverage analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)
Loss Forecasting
- Build and maintain Loss Forecasting Models basis Net Flows / Network methodologies.
- Managing modeling efforts to construct high-level driver based tool for scenario analysis and used for Capital Adequacy.
- Performing all required tests and measures of developed models (e.g., sensitivity, accuracy, volatility), delivering comprehensive model documentation, Validating and Recalibrating models on periodic basis
- Developing and producing quarterly reporting deck highlighting forecast accuracy and portfolio trends for user testing monitoring
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