ENTREPRENEURIAL FINANCE LAB

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ENTREPRENEURIAL FINANCE LAB

EXPANDING ACCESS TO DIGITAL FINANCE Alan Martinez, Director of Innovative Solutions info@EFLGlobal.com

ENTREPRENEURIAL FINANCE LAB

EXPANDING ACCESS TO DIGITAL FINANCE Alan Martinez, Director of Innovative Solutions info@EFLGlobal.com

© 2016, EFL Global. All rights reserved. 2 2

New Trends

Mobile User Expectations

Big Data FinTechs

© 2016, EFL Global. All rights reserved. 3 3

Emerging digital lenders

”Born Digital” Lenders Traditional FIs going digital

© 2016, EFL Global. All rights reserved. 4

Rejected w/o

review

Don’t apply

Insufficient collateral, documents

Approved Potential

Problem

© 2016, EFL Global. All rights reserved. 5

CDR

Journey

Customer

Acquisition

CREDIT SCORE

337

Score Delivered

Digital Channel

Mobile / PC / Tablet

FI Screening

Data Analytics and

Scoring Strategy

Application Psycho-

metrics

GIS

Bank Account

Aggregation

Traditional / Digital

Underwriting

The Best

Credit Decision

High volume

Online

Social

Sales History

© 2016, EFL Global. All rights reserved. 6

Solution

Mobile Relationship Conversational

© 2016, EFL Global. All rights reserved. 7 © 2016 EFL Global Ltd. All Rights Reserved

ALTERNATIVE DATA

EFL’s Alternative Data Score analyzes a consumer’s or entrepreneur’s deep aspects highly related to their success and willingness to pay

ATTITUDES & PSYCHOLOGICAL

PROFILE

ETHICS & HONESTY

FLUID INTELLIGENCE

BUSINESS SKILLS

WILLINGNESS TO PAY ABILITY TO PAY

© 2016, EFL Global. All rights reserved. 8

Solution – Digital Finance

Mobile Conversational

© 2016, EFL Global. All rights reserved. 9

Product

If you were to take a loan and NEVER REPAY IT, how much respect,

admiration and influence would you have compared with others ?

© 2016, EFL Global. All rights reserved. 10 © 2016 EFL Global Ltd. All Rights Reserved

Credit Score Represents a score that can be used to determine the credit decision. Using a cutoff, the score determines who to accept or reject.

CREDIT SCORE

337

Acceptance Criteria

Accept applicants with scores above optimal cut-off.

Risk-Based Pricing

Align interest rates with credit default risk.

Fast Track Approval

Shorten approval process for low-risk clients.

Loan Size Determination

Allow higher loan sizes for low-risk clients.

Use Case

© 2016, EFL Global. All rights reserved. 11 11

EFL expands lending to the other 80% of consumer and enterprise lending

markets . . .

Use Case - India

Leverages alternative data and technology to increase efficiency and

productivity

Works with data-driven CRO and Senior Management to make reliable & timely risk management decisions.

© 2016, EFL Global. All rights reserved. 12

Results Predictive power across 27 different geographies and more than 30 partners

Financial Institution 1 Financial Institution 2

Financial Institution 3 Financial Institution 4

4%5%4%

11%

0%

2%

4%

6%

8%

10%

12%

5%

~3x

Def

ault

Rat

e

3%

11%13%

8%8%

0%

5%

10%

15%

~4x

Def

aul R

ate

5%

9%7%

12%

17%

0%

5%

10%

15%

20%

~4x

Def

ault

Rat

e

5%

3%3%

2%

0%

2%

4%

6%

~2x

Def

ault

Rat

e

Worst Score

Best score

Worst Score

Best Score

Worst Score

Best Score

Worst Score

Best Score

4%

© 2016, EFL Global. All rights reserved. 13 13

675,680 credit assessments

Traction

+$1 Billion loan decisions

27 countries

Psychometrics

Entrepreneur Consumer

Mobile / CDR

Social

2010 2011 2012 2013 2014 2015 2016

© 2016, EFL Global. All rights reserved. 14 © 2016 EFL Global Ltd. All Rights Reserved

INDONESIA MEXICO INDIA

SOUTH AFRICA MEXICO INDIA

KENYA

KENYA PERU

MEXICO ECUADOR ETHIOPIA

INDIA

MEXICO HAITI

SPAIN BRAZIL PERU

ZIMBABWE

ECUADOR

MEXICO

COSTA RICA

GUATEMALA

GHANA

Partners

Global Partnerships

© 2016, EFL Global. All rights reserved. 15

Partnering with EFL

Increase Approvals

Transformational

Efficiency

Control Risk Proven

Alternative Data

Compete in a Digital World

info@EFLGlobal.com

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