SLIDE 13 Deep investment in Analytics and Decision Sciences
Incorporating science across the credit cycle
Analytics is integral to driving business decisions Scorecard Usage for Credit Decisioning Optimizing Collection and Recovery efforts Managing Portfolio Volatility
New Account Acquisition Portfolio Management Target Segment Collection & Recovery Identifying
maximize returns Explore new markets Selection through scorecard and models, Pricing for through the cycle risk, Fraud detection & prevention, Cross sell Credit risk monitoring Cross selling Leverage monitoring Trigger based actions Optimising collections and recoveries Skip Tracing
Application score predicts applicant’s likelihood to default Real time scoring using demographic and credit bureau information Scorecards play critical role in underwriting for both Secured and Unsecured products Low Score Profitability Volatil ity Medium Score High Score
Behavior score De-prioritization for potential self- cure customers – improving cure rate from X bucket help reducing collection costs Collections score Supports prioritization of delinquent accounts maximizing rollback Business strategies aligned with
- rganizational risk appetite
statement to optimize through the cycle losses
- PL Salaried Booking Volumes in INR Bn
Healthy disbursals despite liquidity crunch with no impact on delinquency rate Revenue RLM optimized and within acceptable range (0.7x) Rollback rate from X
Propensity to roll back 6.8% 14.5% 32.9% LOW MEDIUM HIGH Mar'19 15.7 26.3 4.2% FY16 FY17 FY18 FY19
11.2% 12.0% 11.0% 13.4% Mar'16 Mar'17 Mar'18 Mar'19 FY16 FY17 FY18 FY19
Expected Loss % Book Size
Recession Slowdown Average Cycle FY16 FY17 FY18 FY19
*Revenue RLM Bench Mark
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