
- Indian Bank or Indian NBFC Experience is must
- Mathematical design, calibration, prototyping and production implementation of credit risk models.
- Develop statistically derived predictive models, perform decision tree-based customer segmentation & profiling analyses, assist business implementation of sophisticated regulatory and scoring models and providing analytic support to businesses across the product lines.
- Expertise in Credit Risk for unsecured loan products to monitor and manage the performance will be added advantage
- Deep understanding of Risk metrics for performance tracking
- Experience in pre-acquisition, collection and fraud analytics
- Perform Portfolio Analytics, segmentation, hypothesis testing
- Hands-on with development of (PD/LGD/EAD) models , Application Scorecard ,Collection Scorecard , Behavioral Scorecard
- Help identify emerging trends and conduct deep dive analysis to propose appropriate strategy.
- Leading development of model methodologies, algorithms and diagnostic tools for testing model robustness, sensitivity, and stability
- Track model performance, suggesting improvements and implementing approved changes
- Integrate models to IT systems, and set up systems processes for offline models
- Lead cross-functional projects pertaining to Analytics, ensure seamless adoption of models across business and support verticals
- Create impactful presentations for stakeholder consumption summarizing analytical findings
- Evaluating existing and new data sources to identify opportunities for customized and optimized data solutions that address business needs
- Work with Analytics Leads to identify opportunities for Analytics in aiding decisions across businesses. Look at providing solutions, going beyond traditional means.
Didn’t find the job appropriate? Report this Job