COURSE INTRODUCTION:

HOW DOES FINTECH

CHANGE THE LANDSCAPE OF FINANCE

2020

CLASS 1 & CLASS 2

FINTECH ACADEMY

www.coursech.comContact us on Wechat

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AGENDA OF PRESENTATION

FINTECH EVOLUTION: EMERGENCE OF FINTECH

PARADIGM

TECHNOLOGIES POWERING FINTECH

APPLICATIONS

02 03

APPLICATION OF FINTECH IN DIFFERENT INDUSTRIES

04

FINTECH IN ASIA

05

COURSE INTRODUCTION

01

COURSE

INTRODUCTION

In this section we explore the

composition of the course and its main

objectives

.

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COURSE INTRODUCTION

In this program, we explore how global banking and financial industry is being disrupted and shaped by financial technologies and solutions

01

02

03

We dive deep into the core technologies which foster the FinTech revolution, such as artificial intelligence, blockchain and big data systems.

INTRODUCTION TO MAIN TECHNOLOGIES

We explore what are the future trends of Fintech, what are the main opportunities and challenges. We discuss the regulatory environment of Fintech.

ANALYSIS OF CHALLENGES AND OPPORTUNITIES

We explore the most viable applications and analyze in what potential avenues these technologies affect the financial industry.

DISCUSSION OF MAIN FINTECH USE-CASES

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MAIN CHARACTERISTICS OF THE COURSE The program provides crucial skills to the participants to apply in their careers and

organizations.

From Zero to HeroThe course can help absolute

beginners to obtain actionable knowledge to apply in their career and

business.

Multidisciplinary Our instructors bring

experience from three disciplines including

technology, finance and law

Business English DevelopmentThe course materials and lectures are

provided in English, helping our audience to consistently develop their

business English skills during the program.

Fintech Career Navigation

Use the course to determine whether the

Fintech career is for you, and from where to start

to build one.

Technical. We can help interested students to dive into the

technical specifics (programming) of

blockchain and artificial intelligence.

Audience FocusedOur instructors are there to reply all of your questions

during and after the course to help course participants

succeed.

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CURRICULUM OF THE COURSE

The course is composed from 8 classes covering different aspects of fintech. This presentation cover first two classes (how FinTech changes the landscape of finance)

Course Introduction: How FinTech changes the landscape of finance (part 1)

Course Introduction: How FinTech changes the landscape of finance (part 2)

Introduction to blockchain technology, the power of consensus

Blockchain technology and financial innovation

Big Data and AI in the financial market, data centric transformation of financial markets (Part 1)

Big Data and AI in the financial market, data centric transformation of financial markets (Part 2)

Regulatory challenges and opportunities for Fintech

RegTech: Introduction and its potential effect on the future regulatory landscape

Class 1

Class 2

Class 3

Class 4

Class 5

Class 6

Class 7

Class 8

FINTECH

EVOLUTION:

EMERGENCE OF

FINTECH

PARADIGM

This section explores what is Fintech,

providing a brief introduction how it is

changing the financial industry

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WHAT IS FINTECHFinTech is technologically enabled innovation that can result in new business models, applications, processes or

products with significant effect on financial markets, financial institutions and financial services.

Technology is a manner of organizing things, coordinating processes, and performing tasks more easily

~60% of retail banking transactions worldwide are now estimated to go through mobile/online channels

Finance industry encompasses a broad range of businesses that manage money

Innovative business models and emerging technologies to transform financial industry

KMSc

hai

n

Finance Technology

Fin

Tech

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HISTORY OF FINTECHTechnology has always played a key role in the financial sector, causing major disruptions to how we manage our

finances

Based on physical media

Analog technologies Banking IT

FinTech

The interlinkage of finance and technology might seem like something fairly recent but has actually evolved over distinct eras

~1500

~1860

~1960~2008

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INEFFICIENCIES OF LEGACY FINANCIAL SYSTEM

The Fintech companies are tackling the inefficiencies of financial system enabling higher product availability and financial inclusion.

Unbanked - Situation where an individual (>15 years old) does not have their own bank account.

Underbanked – Situation where consumers have limited or no access to any financial services, which are normally offered by banks.

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BARRIERS TO FINANCIAL INCLUSIONThe main obstacles of effective financial inclusion are infrastructural and administrative.

Source: The Singapore FinTech Consortium

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GLOBAL MAP OF FINANCIAL EXCLUSION

Source: https://omnibazaar.com/

Percentage of unbanked

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FINTECH DRIVEN

INNOVATIVE BUSINESS MODELS

53.1% 150 times

Automation in products or services delivered through the use of the internet

Unbundling of different financial services traditionally offered by service providers like banks and investment managers.

Emergence of community and user-based financial services (P2P, B2B, etc.) via application of new technological means

FinTech can be characterized as the movement to bring transformative and disruptive innovation to financial services

ADVANTAGES OF FINTECH

FintechOpportunities

Better Consumer Experience, Digital-only Platforms

Increased access, greater transparency, clearer disclosure enables higher customer

engagement .

Higher Product Quality, Client-Focused

Better products, more choices. The high personalization of the fintech services

enables better customer need response.

Lower Costs & Transparent Competitive Pricing

Fintech companies lead to elimination of intermediaries, enabling lower prices .

Faster Rate of Approval and Process Optimization

Extensive application of technology makes sure higher efficiency of workflow.

Greater Service Availability Fintech services are accessible from

anywhere and at any time through online or mobile platforms.

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TECTONIC CHANGES HAPPENING IN FINANCIAL

INDUSTRYNew technological and consumer trends drive the modification and disruption financial services as

we know.

INCREASED POWER

OF DATA ANALYTICS

Big Data resources are utilized to shape the next generation

of financial products and services

SHIFTS IN

CONSUMER

BEHAVIOR

Rather than face-to-face interaction, today’s financial

consumers increasingly value remote, on-demand, services.

CHANGE OF THE

ASSET OWNERSHIP

AS PARADIGM

New emerging Fintech

technologies revolutionize

the development, transfer

and maintenance of financial

assets

FINTECH INVESTMENT

2018 VC-backed fintech deals and funding set an annual record: VC-backed fintech companies raised $39.57B across 1,707 deals globally.

Fintech is happening on global scale with deals outside of core markets (US, UK, and China) accounting for 39% of deals.

There are 39 VC-backed fintech unicorns worth a combined $147.37B.

Asia made a run at the US as the top market for fintech with a surge in early-stage and mega-round investments.

Global fintech investment 2014 -2018 ($B)

Source: CBINSIGHTS

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FACTORS SUPPORTING

FINTECH DEVELOPMENTFollowing factors have positive effect on the development of Fintech

High penetration of mobile devices among the young

Technological development

Untapped market opportunities

Consumers increasingly valuing convenience over trust

A lack of physical banking infrastructure

Data aggregation in an extensive scale

39 FINTECH UNICORNSGlobal VC-backed fintech companies with a private market valuation of $1B+ and total valuation of $147.37B

Source: CBINSIGHTS

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KEY UNDERLING TECHNOLOGIES OF FINTECH

FINTECH APPLICATIONS

CLOUD & MOBILE COMPUTING

BLOCKCHAIN & CRYPTOCURRENC

ARTIFICIAL INTELIGENCE

MEMBER NAMEManager

MEMBER NAMEManager

The distributed databases open up new prospects of financial innovation

APIs are a set of routines, protocols, and computing resources which aim to create efficient methods of communication

Big Data tech is designed to analyze, process and extract the information from an extremely complex and large data sets

MEMBER NAMEManager

MEMBER NAMEManager

IoT is system of interrelated computing devices, mechanical and digital machines

BIG DATA ANALYTICS

API SYSTEMS

CRYPTOGRAPHY & CYBER-SECRUITY

IoTOTHER HUMAN

DIGITAL INTERFACES

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SEGMENTS OF FINTECH

53.1% 150 times

FinTech has expanded in scope, now covering the full spectrum of finance and financial services. It can be segregated into five key areas:

FINTECH SEGMENTS

FINANCE &INVESTMENT

DATA SECURITY & MONETIZATION

INTERNALOPERATIONS & RISK

MANAGEMENT

PAYMENTS AND INFRASTRUCTURE

CONSUMER INTERFACES

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DATA BASED VALUE ADDED SEGMENT

The alternative trading systems have extensive market size, enabling the full

FINTECH ECOSYSTEMSource: BI Intelligence

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FINTECH CHALLENGES

The fintech sector, although creating a technological revolution in the finance industry, is also facing significant challenges

Regulation Higher cyber-risk

Potential Customer Data Issues

Credibility & Reputation Building

Increased Risk of Money Laundering

Complexity of Smart Integration

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EXPECTED EVOLUTION FROM FINTECH 3 TO FINTECH 4

Still fintech has a long way to go and future changes will be characterized by increasing monetization of data and reliance on digital identities

Future Fintech 4.0

Bilateral data sharing

Current Fintech 3.0

Giving out the Ownership of data to a centralized party

Limited insight on full market information

Network based data collaboration

Gaining back the control and monetization power over the data

Higher level of transparency on market data (public verifiability)

No intermediaries are applied leading to significant cost reduction

Fully decentralized (community based service provision)

TECHNOLOGIES

POWERING

FINTECH

APPLICATIONS

This section explores broadly the

technologies which serve as a

fundamental layer for Fintech

revolution

.

CLOUD COMPUTINGCloud computing services enable users to store information, processes, and data in servers that

may be accessed through any computer with internet connection.

Private, Public and Hybrid

Clouds.Store, share, update and

analyze data

Analysis of constantly-updated

datasets

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EFFICIENCY & FLEXIBILITY OF CLOUD

COMPUTING

53.1% 150 times

Financial institutions can transform their business models and gain a competitive edge through early adoption of cloud computing technologies

Cost Savings Collaboration Efficiency

Flexibility Of Work Practices

Scalability Anytime, Anywhere Access

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MAJOR CLOUD COMPUTING SERVICESFollowing 3 primary models for Cloud Computing have emerged in the past two decades

Utility computing data center providing on demand server resources:

• HP Adaptive infrastructure as a Service• Rackspace• Amazon E2C & S3

IaaS (Infrastructure as a Service)

Applications typically available via browser:• Google Apps• Salesforce.com

SaaS (Software as a Service)

Hosted application environment for building and deploying cloud applications:• Salesforce.com• Amazon E2C• Microsoft Azure

PaaS (Platform as a Service)

30% 70%

Cloud helps them quickly provision resources for business opportunities,

which could otherwise be lost.

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BIG DATA Today data is accumulating at tremendous rate from different sources. It is really is becoming a

challenge to store and process it all in a meaningful way

VOLUME

VARIETY

VELOCITY

Inputs Outputs

Feedback

Volume • Data volumes are becoming unmanageable• Data is coming from different sources

Variety

• Data complexity is growing• More types of data captured than previously• Structured and unstructured data

Velocity

• Some data is arriving so rapidly that it must either be processed instantly or lost

• This is a whole subfield called “stream processing”

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DIFFERENCE BETWEEN TRADITIONAL AND BIG DATA

ANALYTICS

Studies information gathered for specific purposes

Is made with a single computer

Employs structured data

Also examines data that is a byproduct of the functioning of different systems

Is carried out by two or more computers networked through traditional connections or cloud computing services

Also inspects unstructured data

TRADITIONAL DATA ANALYSIS BIG DATA ANALYSIS

AI & MACHINE LEARNINGAI & Machine Learning is concerned with computer programs that automatically improve their

performance through experience

Why now

Flood of available data (internet, IoT,

etc.)

Increasing computational power

Growing progress in available algorithms

and computational operations

High adoption and increasing support

from the industry

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AI & MACHINE LEARNINGArtificial intelligence refers to the simulation of human intelligence in machines that are

programmed to think like humans and mimic their actions.

Develop systems that can automatically adapt and customizethemselves to individual users.

Discover new knowledge from large databases (data mining).

Ability to mimic human and replace certain monotonous tasks -

which require some intelligence.

Develop systems that are too difficult/expensive to constructmanually because they require specific detailed skills

Enable the conversion of data to knowledge

PROCESS OF MACHINE LEARNINGAlmost any task that can be completed with a data-defined pattern or set of rules can be

automated with machine learning.

1 2 3

456

Supervised Learning

Allows you to collect data or

produce a data output from a

previous ML deployment

Unsupervised Learning

Helps you to find all kinds of

unknown patterns in data

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FINANCIAL APPLICATIONS OF MACHINE

LEARNING

. Investment Predictions - Using machine learning, the fund managers identify

market changes earlier than possible with traditional investment models.

Risk Management – Can be applied to enhance the creditworthiness

assessment based on dynamic data.

Process Automation – Can be effectively executed to enable the

automatization of different processes including document analysis

Network Security- With advanced technology, machine learning

security solutions are capable of securing the world’s financial data.

Financial Monitoring - Data scientists train systems to

detect a large number of micropayments and flag.

Money-Laundering Prevention _ Machine

learning blocks money laundering activities

MOBILE SERVICESMTS allows users to apply their mobile phones for performing monetary transactions, just like using

cash. In this way, the mobile device acts as a wallet, credit card, debit card, etc.

Source: The Singapore Fintech consortium

BIG DATA & MOBILE DEVICES The convenience, portability, and overall effectiveness of the mobile devices effects all the industries. The big

data technologies can be used to harness full potential of customer analysis based on mobile data

Mobile Computing

APPLICATION PROGRAM INTERFACE (API) APIs are a set of routines, protocols, and computing resources which aim to create efficient methods of

communication that allows the interaction with other systems

APIs facilitate the interaction between two

different systems

Users can access information and services that

would otherwise be unreachable

New fintech startups can collaborate with

existing financial institutions provided value

add services

Opportunities

Challenges

Sensitive information or procedures might not

be able to be integrated into APIs

OPEN BANKING

An open ecosystem offers a new network of tech-enabled functionalities

Closed Ecosystem Open Ecosystem

DISTRIBUTED LEDGER TECHNOLOGIES

(BLOCKCHAIN)Blockchain is public distributed ledger (ledger of facts) replicated across several computers assembled

in a peer-to-peer network.

Blockchain is the same as bitcoin

Blockchain is the technology

behind Bitcoin.

Bitcoin is the digital token, and blockchain is

the ledger that keeps track of who owns the

digital tokens.

Blockchains could not be without the Internet.

You can’t have Bitcoin without

blockchain, but you can have

blockchain without Bitcoin

The blockchain is a meta technology because it

affects other technologies, and it is made

up of several technologies itself

DISTRIBUTED LEDGER TECHNOLOGIES (DLT)

DLT is an information technology model that stores information in registries owned by every computer linked to a specific network, where computers are located.

DLTs are decentralized

The submitted information is immutable

Global database Is stored between several

computers

Provides high level of security and data

integrity

Difference between Centralized and Distributed

Ledger

APPLICATION OF

FINTECH IN

DIFFERENT

FINANCIAL

SEGMENTS

In this section we provide a broad

introduction how the financial

technologies are applied in different

segments (use-case focused)

.

SEGMENTS OF FINTECH

INVESTMENT MANAGEMENT SERVICES

PAYMENT AND SETTLEMENT SERVICES

P2P transfers

Mobile Point of Sales (mPOS)

CREDIT, DEPOSIT, CAPITAL RAISING AND INSURETECH

As the fintech industry continues to mature, new segments are taking the lead when it comes to growth.

Digital and Mobile Wallets

Cryptocurrencies

E-trading

Copy-Trading

High Frequency Trading

Robo-Advisory

Insuretech

P2P Lending Marketplace

Credit and Capital-Raising

Digital Banking

PAYMENTS AND

SETTLEMENT

SERVICES

SUBSECTION

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PAYEMENT SEGMENT The proliferation of smartphones and the emergence of mobile payments and blockchain technology

have unlocked innovation across the whole payment industry

Refers to the transfer of funds from one personal account to another, using the Automated Clearing House system, blockchain

or debit/credit cards.

Online Banking ePayments

In-store retail payments

Person-to-person

payments

In-store payments are enabled by smartphone apps that use near-field communication (NFC), quick

reference (QR) codes or barcodes to initiate payment, in place of a physical credit/debit card or gift

card.

Developed by the traditional banking industry specifically designed to address the unique requirements of payments made via

Internet.

DEVELOPMENT OF CASHLESS SOCIETIESA society where financial transactions are not conducted with money in the form of physical banknotes

ADVANTAGES OF DIGITAL WALLETS Consumers can use their electronic wallet to pay for items instead of carrying a physical wallet to pay

with a card.

02

03 04

01Saves time and effort by

automatically populating data, minimizing the need to provide

manual inputs every time.

Reduces the cost of transactions by eliminating intermediaries at various levels and lowering charges at PoS

Gives a competitive edge to merchants by being able to serve

a larger base of modern customers .

Can be integrated with ecommerce portals to make online shopping easier.

MOBILE PAYMENTMobile wallets are basically the mobile version of a digital wallet with five types of mobile payments:

This is when a merchant uses their mobile device to process payments.

MOBILE AS THE POINT OF SALE

“Tap and go" method where your smartphone's built-in NFC is used to make a payment using your smartphone.

THE MOBILE WALLET

These companies allow you to make peer-to-peer payments to your friends or pay a merchant online.

THE MOBILE PAYMENT PLATFORM

This when you purchase an app or game on your smartphone and the charge is put onto your cell phone bill.

DIRECT CARRIER BILLING

These are mobile payment systems built by a company, for example, the Starbucks mobile app.

CLOSED LOOP PAYMENTS

EXTENSION OF MOBILE WALLET ECOSYSTEMS

Mobile wallet ecosystem can orchestrate value-chain players and catalyze consumer adoption.

Banking

.

Ecommerce & e-trading

Electronic tickets

Shopping at malls & retail stores

. Train/air/bus tickets

Bill Payments

MOBILE PAYMENTS IN CHINA

China's estimated 890 million unique mobile payment users made transactions totaling around $17 trillion in 2017

CRYPTOCURRENCIESCryptocurrency is an internet-based medium of exchange which uses cryptographical functions to conduct

financial transactions

Cryptocurrencies stores the history of transactions that have ever taken place.

TRANSPARENT

Payments made in this system are impossible to cancel. The coins cannot be faked, copied or spent twice

INTEGRITY

Cryptocurrencies are not controlled by any central

authority

DECENTRLIZED

The transaction can not be controlled or prevented, so

you can make transfers anywhere in the world

NO BOUNDARIES

01

02

03

04

HOW CRYPTO-CURRENCIES WORK

The cryptocurrency transaction effectively represent entries into a distributed ledger which are validated by the participants of the network

MAIN ADVANTAGES OF CRYPTOCURRENCIES AS

MEANS OF PAYMENTCryptocurrency is a new payment method based on blockchain technology which have distinct differences

from fiat, making them unique way of value transfer

Irreversibility Confidentiality Speed and global reach

Unrivaled Security

No Restrictions

Controlled Supply

Debt-Free

INVESTMENT

MANAGEMENT

SERVICES

SUBSECTION

DIGITAL WEALTH MANAGEMENT Digital Wealth Management systems use algorithms based on consumers’ data and risk preferences to

provide digital services, including investment and financial advice, directly to consumers. .

WEALTH MANAGEMENT

Online platforms and processes to make opening

accounts fast and easy

Personally tailored portfolios and

diversified investment plans

Clean user interface

Interactive Knowledge sharing platforms

Low fees and incredible transparency

Alternativee Access to Investing

Access to New Assets

New investing models to access existing assets

The new investing apps lowered the barriers for investors to access existing markets with tech

Democratization of Investing

Startups are now looking to lower barriers to enter alternative asset classes, creating new commercially available assets

Startups are creating new platforms that enable new methodologies to access alternative asset classes

54

DIGITAL WEALTH MANAGEMENT

Online portfolio management solution that aims to invest client assets by automating client advisory.

› Online questionnaire

› Product or portfolio proposal

› Listed ETFs, bonds and shares

› Dedicated fund management

› Managed adjustments & rebalancing

› Risk based portfolio allocation

› Algorithm-based adjustments & rebalancing proposals

› Pre-defined investment rule-ass

› Fully-automated investment

› AI based system, Automatic asset shifts

1

2

3

4

WHAT ARE ROBO-ADVISORSRobo-advisors can be defined as a self-guided online wealth management service that provides

automated investment advice at low costs, employing portfolio management algorithms

Operational Efficiency

HOW THE ROBO-ADVISORS OPERATE

The robo-advisor automatically builds for them a diversified portfolio of funds

Experts (human component) regularly monitor market activity to ensure customer’s portfolio is rebalanced appropriately

Some robo-advisors includeaccess to a live consultant or certified financial planner

Customers complete a brief questionnaire toassess their risk tolerance and investment needs

The algorithms applied in the robo-advising services also increasingly

employ big data and AI

Customers can flexibly log into their account to track your progress, make adjustments,

add contributions

HIGH FREQUENCY TRADING High-frequency trading, also known as HFT, is a method of trading that uses powerful computer

programs to transact a large number of orders in fractions of a second.

The computers used to execute these trading systems are programed to use complex algorithms to analyze a

large number of stocks across various exchanges.

Based on these results, these trading programs send out a high volume of stock trades to the market at lightning

speed.

The goal is to get out in front of the emerging trends spotted by the computers to give their customers an edge

in the marketplace.

These platform invest to keep their technologies at the forefront and col-locate their servers at exchanges to

minimize the latency of market connection

REACTION TO THE TRADING SIGNAL

High frequency trading algorithms react to a countless signals which sometimes last milliseconds

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CREDIT, DEPOSIT,

CAPITAL RAISING

AND INSURETECH

SUBSECTION

60

UNBANDLING THE BANKING

ALTERNATIVE LENDING CHANNELSAlternative Lending is lending that takes place outside of a banking institution, consisting mostly of non-

bank companies that provide funding to small businesses.

EQUITY CROWDFUNDING

REWARD-BASED CROWDFUNDING

PEER-TO-PEER LENDING

REVENUE-BASED FINANCING

CRYPTO BASED LENDING

OTHER ONLINE LENDING

INVOICE TRADING

Is the practice of lending money to individuals or businesses through online services that match lenders with borrowers

Other Online loan sources which conduct the majority of their business via a website.

Cryptocurrencies are increasingly adopted as collateral by DeFI companies to distribute loans

Investors invest capital into a business in return for a fixed percentage of ongoing gross revenues

Using invoice trading platforms businesses sell their invoices to third parties

Enables broad groups of investors to fund startup companies and small businesses in return for equity

Practice of funding a project or venture by raising small amounts of money from a large number of people

ADVANATGES OF ONLINE LEDNING (BANKING)

The financial technologies enable speed, efficiency, and diversity of offerings that makes a big difference.

Speed & Ease of Application

Quick Turnaround Time

Flexible Underwriting

Digital interface for banking tracking and management

Significant Operational Cost Saving

ALTERNATIVE LENDING HISTORY

Alternative lending entered the financial landscape little before the disastrous subprime crisis of 2008.

During the period of 2008-2016, the US, UK, China, Germany and

India, respectively, broke the $100 Mn investment mark in the alternative lending sector

The sector has focus on innovation as a means to deliver maximum

satisfaction to customers via automatization of banking

Source: CBINSIGHTS

The disintermediation of banks in the process of the loan distribution process

P2P LENDING – UNBANDLING BANKS

P2P LENDING – UNBANDLING BANKSIs the practice of lending money to individuals or businesses through online services that match lenders

with borrowers

Top P2P Lending Platforms in Asia

Top P2P Lending Platforms in Western Countries

KEY TECHNOLOGY BEHIND P2P LENDINGSeveral innovative technologies are applied to power P2P lending value chain .

Source: PwC

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MOBILE BANKING

Mobile banking is a service provided by a bank or other financial institution that allows its customers to conduct financial transactions remotely using a mobile device such as a smartphone or tablet

MOBILE BANKING NEO BANKSCHALLENGER

BANKSBAAS & BAAP E-WALLETS

INSURANCE TECHNOLOGY (INSURETECH)

AI/ Machine Learning

Blockchain

Big DataIoT

InsureTech are technologies & platforms that help optimize any of the requirements of insurance

FINTECH IN

CHINA

This section explores the FinTech

environment in China and the main

trends

.

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WHY ASIA The increase of the fintech sector in Asia is extensively driven by the mobile and internet

penetration

High mobile penetration

Young Population

Unbanked Population

Fragmented Markets

Government Support

FINTECH DEVELOPMENT IN CHINA

Source: PENSER

In the last two decades China has emerged as Fintech mega-power. Mainland China now hosts eight of the

world’s leading FinTech unicorns

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HIGH SYNERGY BETWEEN FINTECH AND CHINESE

FINANCIAL MARKETThe state of the development of Chinese financial market have created fertile ground for the

development of Fintech

02

01 China had traditionally been a market of banking services with few players who were poorly regulated and managed

Customers were forced to choose from a very limited range of offerings, and the user experience suffered as a result.

03 Inequal opportunities of access to the financial system for small & medium companies and state owned entities (barriers of entries)

04Fintech businesses are particularly adept at reaching “tech-

literate yet financially underserved” markets

37% 63%

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FINTECH ECOSYSTEM IN CHINA

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MAIN FINTECH TRENDS IN CHINA

87

6

54

3

2

1

China FinTech Trends

5The Chinese online insurance sec-tor continues to expand

6 Open Banking as potentially new major direction

7Blockchain is key fintech, governmental support

8Chinese internet giants are accel-erating their “definancialisation”

1Regulatory agencies unveil policy guid-

ance to support fintech growth

2The integration of finance with technol-ogy becomes an inevitable trend

3Development of smart banking premises

becomes an increasingly pronounced trend

4Tech innovation became core area of

competitiveness for consumer finance

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