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© 2016 Cloud Lending Inc. Confidential - Internal Use Only.
FinTech Best Practices for Traditional LendersPossibilities….
External Presentation
By Snehal Fulzele CEO, Cloud Lending Solutions
© 2016 Cloud Lending Inc. Confidential - Internal Use Only.
“What is FinTech (in lending)?”
2
FinTech is a breed of companies who bring (innovative?) lending products to consumers and businesses, much like BANKS, with a single-minded focus on
Borrower Experience Data Science Automation
© 2016 Cloud Lending Inc. Confidential - Internal Use Only.
But Incumbents are busy with & Investing in Compliance
3
Incumbents can turn compliance as a competitive advantage using RegTech
RegTech is use of new tech such as cloud, data science and machine learning to solve regulatory and compliance requirements more efficiently and effectively
Borrower Experience Data Science Automation
RegTech
© 2016 Cloud Lending Inc. Confidential - Internal Use Only. 4
Borrower Experience Data Science Automation
Which product is best for me?
© 2016 Cloud Lending Inc. Confidential - Internal Use Only. 5
Which product is best for me?
Borrower Experience Data Science Automation
© 2016 Cloud Lending Inc. Confidential - Internal Use Only.
Guide the borrowers to the best fit solution based on their inputs
6
Borrower Experience Data Science Automation
© 2016 Cloud Lending Inc. Confidential - Internal Use Only. 7
Financial Product Borrower
Borrowers
Manual Processes (inefficient & expensive)
FICO based Risk analysis
Financial product A,B,C …
Automate, wherever applicable
Risk analysis based on ▪ FICO
(backward looking) ▪ Big data ▪ Predictive models
(forward looking)
Most incumbents’ DNA Desired state
Borrower Experience Data Science Automation
© 2016 Cloud Lending Inc. Confidential - Internal Use Only.
Ability to analyze data to mine actionable insightsData Science?
8
Borrower Experience Data Science Automation
Credit Score,
Financial Analysis and a ton
others
Cash Flow Analysis
macro-economic factors
Bankruptcy likelihood
Bank Transactions
Predictive Models
Approved? & Pricing
Desired
Credit Score,
Financial Analysis
Traditional
Scorecard
Approvals
.
.
.
© 2016 Cloud Lending Inc. Confidential - Internal Use Only.
Use data and machine learning to predict credit riskData is a key competitive advantage for incumbents
9
Data bricks
V = Volume V = Veracity V = Variety
3Vs
1
Deep Learning (Machine learning
algorithm)
3
a10
Predictive ModelW1
W2W3
W4W8
WC
a27
a2
a15
a9
a8
a1
a2 a27 . w1 + a2 . w2 + …
4
Data Scientist
2“Credit risk has some co-relation to following factors…”
Attribute Weight
Zip Code (a1) ?
Income Group (a2) ?
Designation (a3) ?
Education Level (a4) ?
Borrower Experience Data Science Automation
© 2016 Cloud Lending Inc. Confidential - Internal Use Only. 10
Traditional Loan Onboarding Processmulti-step, multi-people, multi-approval, manual
ApplicationContract
Approvals
Borrower☐
Underwriter☑
Insurance Agent ☑ Loan Officer ☑
Appraiser☑
Generate Pricing
Assign Credit Band
Run Scorecard
Scoring Rules
Income stat
Identity Check
Credit Bureau
Bank
Borrower Experience Data Science Automation
© 2016 Cloud Lending Inc. Confidential - Internal Use Only. 11
Acceptance
Offer
Web BorrowerAuto Decision Process
Web Services
Application
Generate Pricing
Assign Credit Rating
Run Scorecard
Data Aggregation
Contract
Scoring Roles
Social Score
Identity Check
Credit Bureau Bank
Automate, wherever possibleAuto KYC, Verification and Decisioning
Borrower Experience Data Science Automation
© 2016 Cloud Lending Inc. Confidential - Internal Use Only.
RegTech Cuts Across All Lending Processes
Possibilities
12
© 2016 Cloud Lending Inc. Confidential - Internal Use Only. 13
Borrower Experience Data Science Automation
RegTech
Acceptance
Offer
Web Borrower
Application
Contract
Perform auto KYC and AML
Avoid Discriminatory Lending Practices. e.g. prevent manual errors and comply with Equal Credit Opportunity Act, Fair Housing Act, Civil Rights Act etc
RegTech allows lender to …
Proactively and automatically lists the federal/state laws lender agreed to comply with and notifies the lender when any of the reg changes
© 2016 Cloud Lending Inc. Confidential - Internal Use Only.
Use data and machine learning to predict credit riskData is a key competitive advantage for incumbents
14
Borrower Experience Data Science Automation
Data bricks
V = Volume V = Veracity V = Variety
3Vs
Data Scientist
1
“Credit risk has some co-relation to following factors…”
Attribute Weight
Zip Code (a1) ?
Income Group (a2) ?
Designation (a3) ?
Education Level (a4) ?
2
Deep Learning (Machine learning
algorithm)
3Predictive ModelW1
W2W3
W4W8
WC
a27
a2
a15
a9
a8
a1
a2
a10
a27 . w1 + a2 . w2 + …
4
RegTech
Avoid using discriminatory
attributes
© 2016 Cloud Lending Inc. Confidential - Internal Use Only.
About Cloud Lending Solutions Cloud Lending Solutions is a cloud-based, end-to-end lending platform delivering innovation to the global lending community. Unlike legacy technology platforms that are expensive to maintain and prevent agile response to market conditions, Cloud Lending Solutions’ clients take back control of their business by quickly implementing, extending, and digitizing the entire lending lifecycle. Cloud Lending Solutions’ single system of record is the market leading cloud solution supporting both consumer and commercial lending that scales for the needs of lenders of all sizes. Clients include banks, traditional finance companies, online lenders, and marketplace platforms.
Copyright © 2016, Cloud Lending Inc. Confidential - Internal Use Only.
Thank you+1-(650) 918-0499 | [email protected] | www.cloudlendinginc.com
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