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CHINA’S LEAD IN GLOBAL FINTECH

Gregory Gibb Co-Chairman and CEO, Lufax

J u n e 6 , 2 0 1 7

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Lufax Overview

Backed by Ping An

Six years since establishment

30mm+ registered users

7.6mm+ active investors

3.7mm+ cumulative borrowers

Client assets: USD65bn+

Largest Wealth-tech platform in China

Largest P2P platform globally

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When the steam engine was first invented…

…no one would have imagined the railroad

system that followed… …and the high speed

trains of today

FinTech: It is Just Beginning

The Drivers: Mobile + Data + Computing + Open Platforms

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The “Alignment of the Stars” for Massive FinTech Opportunities in China

Technology meets demographics

Inadequate supply

Huge demand

Connectivity

First world tech infrastructure

Accelerating economic development

Young, urbanizing, saving middle class

Corporate focused

State owned

Decentralized management

Consumption

Securitization

Investing

Better resource allocation

Liquidity

Borrowing

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Lufax is Addressing Huge Demand from Investors and Borrowers

Investors • Tier 1 cities: 2/3

− Beijing, Shanghai,

Guangzhou, Shenzhen

• Tier 2, 3 & 4 cities: 1/3

Borrowers • Tier 1 cities：1/5

− Beijing, Shanghai,

Guangzhou, Shenzhen

• Tier 2, 3 & 4 cities: 4/5

Xinjiang

Xizang

Qinghai

Inner Mongolia

Heilongjiang

Jilin

Liaoning

Beijing

Beijing Tianjin Tianjin

Dalian

Liaoyang

Changchun

Qiqihaer

Hebei

Ningxia

Gansu Shaanxi Shanxi

Xian

Shandong

Henan

Hubei

Yunnan

Sichuan

Hunan

Jiangsu

Shanghai Shanghai

Zhejiang

Jiangxi

Fujian Guizhou

Guangxi

Hainan

Guangdong

Anhui Chengdu

Chongqing

Chongqing

Kunming Qujing

Guiyang Changsha

Nanning

Wuhan

Foshan

Jiangmen

Zhongshan

Dongguan Huizhou

Dongguan Xiamen

Quanzhou

Putian Fuzhou

Wenzhou Taizhou

Ningbo Hangzhou

Jinhua

Hefei

Zhengzhou

Qingdao Jinan

Yantai Shijiazhuang

Binzhou

Zibo Dezhou Weifang

Rizhao Lianyungang Linyi

Xuzhou

Xuzhou

Huaian

Changzhou

Changzhou

Wuxi

Nanping Huzhou

Longyan

Zhangzhou Quanzhou

Sanming

Jiaxing

Nanjing

Affluent regions

Developing regions

2016 Shanghai GDP per capita: RMB111,000

2016 Chengdu GDP per capita: RMB75,000

Suzhou

Investors Borrowers

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Inadequate Supply Meets Huge Unmet Needs

TRADITIONAL FINANCIAL INSTITUTIONS

Underserved demand from rapidly-growing middle class

Poor customer service

Time-consuming at branches

Limited products

High cost of borrowing

Lack of credit infrastructure

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Technology Enables Lu.com to Provide Superior Customer Experience

01 Add a bank account 02 Facial

recognition 03 Credit approval 04 Receive

loan

Low requirements Fast process

Easy repayment

V

Credit approval within 3 minutes, 24x7, 100% online

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Using Technology and Big Data to Manage Credit Risk

PBOC record 880 mn people

PA Group

Credit gas station 125 authoritative data institutions

Facial recognition Accuracy as high as 99.85%

Bank card binding 19 partner banks (incl. four state-owned banks)

Micro facial expression First one in the industry to use this

technology Anti-fraud inquiry

Fraud detection as high as over 80% (Industry average: 50%)

LBS 100% coverage nationwide

Repayment capability

Repayment willingness

2014 2015 2016Q3

Bank NPL % Puhui UPL NPL %

Achieving lower NPL than banks

Identity verification

Facial recognition Accuracy as high as 99.85%

Bank card linking 19 partner banks

(incl. four state-owned banks)

PBOC record

PA Group

Credit gas station

Micro facial expression Anti-fraud inquiry

LBS

880 mn people

125 authoritative data institutions

First one in the industry to use this technology Fraud detection as high as over 80% (Industry average: 50%)

100% coverage nationwide

Superior Portfolio Quality by Vintage

1 2 3 4 5 6 7

2013 2014 2015 2016(1H)

(First 6 months on book)

Note: gross claim data for unsecured personal loans

300 mn+ customer data