Investor Presentation - Q1 FY23
Data Science Backed Centralised Underwriting
Risk Management Design
Tech-Led
Centralised
Salaried customers
Build detailed understanding of
customer via field visits by RM
In-depth understanding of
operating geographies and
property types
Low under construction
exposure and low LTV
100+ data points & digitally
captured data for all customers
- API integration with third party
independent sources like Hunter,
Perfios etc.
All customer and internal
communication, documents,
photographs, videos available on a
single cloud based system
Consistency in underwriting
Integrated CRM and Loan
Management System on cloud
based platform
Proprietary Machine learning &
Customer scoring models used
for credit decision
Loans Approved within 48hrs
90%
For Q1FY23
11%
89%
Q1FY23
Investor Presentation - Q1 FY23
- 26%
Low Under Construction Risk
36%
17%
LTV on Origination
EMI
Pre-EMI
37%
Q1FY23
56.6%
■Less than 50%
50-80%
Above 80%
47%
37%
13
Q1FY23
46.8%
Low effective LTV on book
■Less than 50%
50-80%
■Above 80%
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