1.
Five FinTech Trends
In Retail Banking
and Wealth
Management

2.
USE Case: "Alexa,I want to to go on Vacation"
• Travel preferences
• Mileage Accrual
• Airline / Hotel
Loyalty Status
• Promotions
• Savings forecast
• Credit Available
• Promotions
• Preferences

3.
Five fintech trends
E-KYC
MOBILE FIRST
BIG Data
machine Learning & AI
CROSS-VERTICAL INTEGRATION

4.
For each trend, let’s talk about…
Life Hacks to Leverage
the Trend
Business & Career
Implications
What is it? Use Cases

5.
1. E-KYC
What is it?
Electronic process in which a business
identifies and verifies the identity of its
clients.
E-KYC procedures must have the same
standards as the KYC procedures usually
conducted where the relationship is
established face-to-face.
Example of E-KYC currently used:
Biometrics (facial recognition), Voice
control (Siri, Google Home), Finger Print.

6.
1. E-KYC enabler: the API
What is it?
APPLICATION PROGRAMMING
INTERFACE (API):
In computer programming: an
application programming interface:
set of subroutine definitions,
protocols, and tools for building
application software.
http://www.kentosystems.com/api-integration/

7.
1. E-KYC
Use Cases
"Alexa, pay my credit card bill"

8.
1. E-KYC
Business & Career
Implications
Life Hacks to Leverage
the Trend
• Have an active bug bounty program.
• Use APIs to streamline authentication.
• Learn how APIs work, no matter your
job role
• Try every possible API & biometric
option for yourself as a customer
• Keep track of new technologies that
are being tested so you're ready to
implement
https://youtu.be/KopWe2ZpVQI

9.
2. Mobile First
What is it?
• It's not about the device, it's about
the data! Simply digitizing the old
process is not going to win.
• Current approach is to design for the
smallest screen and work your way
up
• Mobile first = content first, which
creates multiple sources of data
Use Cases

10.
2. Mobile First
Business & Career
Implications
Life Hacks to Leverage
the Trend
Keep up with government and industry
initiatives for UPI, NFC and other mobile
payment systems.
https://www.nfcworld.com/
​
Smartwatch Payments are the Next Big Thing:
wave your NFC-powered smartwatch over a
POS machine at the shop to make the payment.
Test and use voice-activated mobile options.
Mobile Payments are making fast inroads
thanks to the availability of Near Field
Communication (NFC) smartphones
Design for the smallest screen and work your
way up.
Understand data privacy laws and play by the
rules.

11.
3. Big Data
What is it?
Data sets that are so voluminous and complex that traditional
data processing application software are inadequate to deal
with them.
There are five dimensions to big data known as Volume,
Variety, Velocity and the recently added Veracity and Value.
( https://en.wikipedia.org/wiki/Big_data)

12.
3. Big Data
Starbucks
Rewards
13 million
customers
17 million
App active
users
USING
INFORMATION
TO OPEN STORES
AND CONVERT
CUSTOMERS
FROM DISLOYAL
TO LOYAL
Identify and link
the customers
with the
products
Identify and
analyse
traffic data
Test and roll
out targeted
data-driven
initiatives
11 major
KPI for
manager
Better
understanding
the purchasing
behaviour
Targeted
advertising and
discounts

13.
3. Big Data
Business & Career
Implications
Life Hacks to Leverage
the Trend
Big data challenges include capturing data,
data storage, data analysis, search, sharing,
transfer, visualization, querying, updating,
information privacy and data source.
Ensure your ROI through A/B testing:
- Tailored discounts, Promotions and
Coupons
- Relevant Loyalty offers
Reconsider which analytics and data
visualization tools you should use.
For example, we see a shift in banks
from SAS to R.
Stop yourself from over-using the
excel graph buttons. You need to
"up your game" with a data
visualization approach.

14.
4. Machine learning & AI
Use CasesWhat is it?
Machine
Learning
Artificial
Intelligence
Expert
Systems
AUTONOMOUS “HUMAN-LIKE”
Diagnostics
Decision
Automation and
Prediction
Human
Surrogate
Rule
Automation
Customer
Segmentation
Game AI
Recommendation
Engines
Identity & Fraud
Detection
Playing Go
Market
forecasting
News
generation
Chat bots
Personal
Assistants
“Hey Siri”
Self driving
car
Drug
interactions
Most new AI embeds Machine Learning,
but Machine Learning rarely uses AI
RULES & INTERFACE

15.
4. Machine learning & AI
Value of big data to finance: observations on an internet credit Service Company in China
https://jfin-swufe.springeropen.com/articles/10.1186/s40854-015-0017-2
Example: An internet
credit service company in
China
Use Cases

16.
4. Machine learning & AI
RISK MODELSFRAUD MODELSMARKETING MODELS
Better segment
scoring
Supplement
existing scorecard
approaches
Prevention: Real-time
analysis of transaction
with immediate fraud
score and rejection
Detection: Identifying
unusual transactions of
customers and taking
steps to block further
fraud attempts.
Online: recommend
effective online content
based on factors such as
risk profiles and
geographic region.
Targeting: Automated
search for audience by
AI (search sites that
match the desired
target market and ad
content).
Use Cases

17.
4. Machine learning & AI
Use Cases
Marketing emails
Track Wildlife
Reduce customer’s home
energy consumption
Co-working with Google home
Get market information
To trial an AI-powered chatbot
on the 111 non-emergency
helpline
Pre-packaged machine learning
algorithms
Its core services built on
machine learning
Luvo: Natural language
processing AI bot

18.
4. Machine learning & AI
Business & Career
Implications
Life Hacks to Leverage
the Trend
• Classification
• Prediction
• Neural networks creation
• Probabilistic machine learning
• Cognitive computing
• Transfer learning
• Start with descriptive statistics
& graphics
• Look to other industries for
examples and inspiration
• AI is a cool buzz word, but "stay
in your lane" with Machine
Learning most of the time

19.
Life Hacks to Leverage
the Trend
https://docs.microsoft.com/en-us/azure/machine-learning/studio/algorithm-cheat-sheet

20.
4. Cross-vertical integration
Use Cases What is it?

21.
4. Cross-vertical integration
Business & Career
Implications
Life Hacks to Leverage
the Trend
• Think outside the box; a FinTech
career step might be in e-
commerce or in marketing due to
rich exposure to data
• Test out every app you can;
shopping, transport, travel, and
know how they work.
• Build corporate partnerships
which are are data gold mines
• Watch consumer, e-commerce and
marketing trends; now they more
easily integrate into retail banking
and wealth management

22.
"Alexa,I want to to go on Vacation"

23.
E-KYC
+
MOBILE FIRST
+
Big Data
+
Machine Learning &
AI
+
Cross-Vertical
Integration
= use
cases
1. Your
Business
2. Your
Career
1. actionable
insights
2. New product
approaches
3. what else?
What's next for you?

24.
Webography https://youtu.be/KopWe2ZpVQI
https://www.digitalnewsasia.com/business/ocbc-bank-launches-voice-powered-conversational-banking
http://moboom.com/blog-post/what-is-mobile-first-design-and-why-should-i-care/e14c121f-f539-aa88-23a1-5217e7b71283
https://www.totalprocessing.com/blog/13-trends-in-the-2017-online-payment-market/
https://intellipaat.com/blog/7-big-data-examples-application-of-big-data-in-real-life
https://www.totalprocessing.com/blog/13-trends-in-the-2017-online-payment-market/
https://digit.hbs.org/submission/starbucks-grinding-data/
http://www.cio.com/article/3050920/analytics/starbucks-cto-brews-personalized-experiences.html
https://www.statista.com/statistics/218366/number-of-international-and-us-starbucks-stores/
http://mashable.com/2017/01/27/starbucks-mobile-orders-earnings/?utm_campaign=Mash-Prod-RSS-Feedburner-All-Partial&utm_cid=Mash-Prod-RSS-Feedburner-
All-Partial&utm_source=feedly&utm_medium=webfeeds#mqtIq_uWIkqL
http://www.northeastern.edu/levelblog/2016/03/04/data-analytics-in-the-real-world-starbucks/
http://www.intel.eu/content/www/eu/en/it-managers/starbucks-analytics.html
https://www.computerworlduk.com/galleries/it-business/uses-of-ai-machine-learning-in-business-3639749/
https://www.cio.com/article/3223191/artificial-intelligence/a-practical-guide-to-machine-learning-in-business.html

25.
Contact
Michelle Katics
CEO and Co-founder, PortfolioQuest
Innovation Advisor, BankersLab
michelle@portfolio-quest.com
+65 86503580
www.Fintalent.com

26.
Follow Us
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27.
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