Risk Analytics
- Develop Predictive models using alternate and traditional data
- EWS / Risk Segmentation Analysis and Banding
- Portfolio Analytics Trends for Risk Metrics and Slice / Dice across Dimensions
- Cross Sell Leverage existing customer base
- Offer Design and Simulation
- Risk Banding on the Existing Customer Base
- Design of Experiment Based Strategy (Dynamic Offering)
- Collections
- Focus on early bucket resolutions
- Early warning on bounce and delinquency
Work Experience :
- Experience across credit modeling is highly desired
- Must have exposure to solving analytics related problems outside of cirr
- Experience in working on digital data is a plus
Qualification :
- BE/MBA/MTech/MSc in Statistics
- Experience in working in R (is a must) and Python
- Participation in hackathons/analytics competition is a plus
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