Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen...

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Commercial in confidence Inteflow User Group September 2018 1

Transcript of Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen...

Page 1: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Commercial in confidence

Inteflow User Group

September 2018

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Page 2: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Agenda10:45pm - 11:45pm | Introduction, Status of Decisioning & EvolutionSpeaker: Vaughan Dixon

11:45pm - 12:15pm | Whats New!Speaker: Luke Croft

- Lunch-

1:00pm - 2:00pm | Industry Update: CCR and Open BankingSpeaker: Steve Brown

2:00pm - 2:30pm | Strategic Direction and RoadmapSpeaker: Vaughan Dixon

- Afternoon Tea -

3:00pm - 4:00pm | Proposed Developments & New RequestsSpeaker: Luke Croft

- Networking Drinks -

Page 3: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Commercial in confidence 3

AngelaMerrettServiceDelivery

Luke Croft

Product

Jason TuckerHead

Consulting

Craig FrawleyInteflowSupport

Vaughan DixonCTO

Kristin Witt

Consulting

Jessica Saxby

AccountDirector

Marnie WithersAccountDirector

Steve Brown

ConsumerSpecialist

Your Hosts Today

Page 4: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Con Terzoglou

COO

Andrew BrennanHead ofDelivery

James MooreHead ofProduct

Arshad EbrahimHead of

Core

Those back in the office 70+

Core Team

Product Team

Delivery Team

Support Team

SME Team

Page 5: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

illion Decisioning Update

What do we see happening in the market?

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Page 6: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

The Market is changing at ever faster ways

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Customer

Customer Expectation

RPA / AI / Advanced

Models

Digital

Data Sources

Regulation

Fraud

Churn

Hardship

CCRPayment Methods

Fintech

SaaS

Compliance

Page 7: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Robotic Process Automation (RPA) is happening

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One of the biggest growth areas

- Automating many tasks- Replacing interfacing

High efficiency

High accuracy and compliance

Rapid to apply and scale

Low risk

Employee engagement

Customer benefit. Robots are able to reply 24x7

Page 8: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

RPA will be the major growth area in the next period

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Page 9: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Machine Learning and AI are starting to be adopted

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Fraud models- identifying those customers that need review

Transactional fraud

User guidanceRecommendation and guidance is a key area to help the underwriter

- The AI engine will become an Intelligent Assistant for your staff

Page 10: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Applying this to your business process

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Adding an assistant to the decisioning system will provide prompts and recommendations which will guide the underwriter

RecommendationApprove this application. The applicant is young and has not cause for not having a credit file. In 96% of the time this application would be approved and only 0.1% fail

Page 11: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Growth in Payment Providers – opening new markets

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Payment ProvidersAfterpayOxipayZippayAlipay GlobalAuthorize.netBitPayCashfreeCoinbase CommerceeWAY Rapid 3.1FuturePayG2A PayGoCoinLaybuyPayment Express PxPayPaymentExpressPayPal Express CheckoutPayPal Payflow ProPaystationPOLi Internet BankingPUT IT ON LAY-BUYShopify PaymentsWorldPay (Direct)WorldPay (Offsite)

Bringing younger customers into the credit process

Verification of customers

These will potentially increase the level of data available at the younger age groups

Challenges with verification

New Datasets

High Volume

Impact to Models?

Page 12: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Watch out for the technology companies

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These organisations are well placed to exploit their reach- these organisations have the desired channel for young consumers- they are probably as trusted as the banks- they have the size to implement change

The fintechs keep arriving. Not all will succeed but a number of good ideas and challenges to existing thinking will appear.

New banks starting in Australia

Tic Toc, Qwid, Volt

Page 13: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Australian Royal Commission: Public opinion driven by the media

'Banking Code Compliance Committee reports that responsible lending breaches increased by 76 per cent', The Age, March 2018

‘Are banks irresponsible about responsible lending?’, The Sydney Morning Herald, March 2018

'CBA peppered problem gambler with credit offers', The Australian Financial Review, March 2018

'CBA wasn't honest with ASIC, while ANZ at risk of breaching responsible lending laws, royal commission hears', ABC, March 2018 'We rely on car

dealers to verify our loans, says Westpac', The Australian Financial Review, March 2018

'Westpac disregarded ASIC credit card lending direction',The Australian Financial

Review, March 2018

‘'Doomed to fail': CBA's 10,000 inappropriate loans’, The Sydney Morning Herald, March 2018

Page 14: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

RC: How do you verify a customer’s declared expenses?

ANZ: 'Our processes are we do nothing. There are transactions on those statements that are inconsistent with the statement of position and we don't do anything.'

RC: Why?

ANZ: 'We're talking about the manual review of paper-based bank statements and to use those… would be highly complex, very time-consuming [and] very costly.'

Westpac: ‘Ignoring the regulator is not a good idea.’

RC: Why did you fail to comply with ASIC’s position regarding verification of employment status and income when offering credit card increases?

RC: Tell us about the loan serviceability process failure for overdraft applications?

CBA: The bank's automated system ‘spat out’ wrong approvals and was ‘doomed to fail’ because of bad design.

Responses to the royal commission

Page 15: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

The banking royal commission consumer finance hearings highlighted the following issues:

Failures to verify income, expenses and liabilities

Mortgage broker monitoring

Irresponsible car loans

Growing regulatory pressure

Inadequate lending processes

Internal control errors

Statistical models are failing

High risk indirect distribution channels

Current state of affairs

Page 16: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Income and expense

Consistent categorisation based on your own policy and configuration requirements across direct, online, broker and third-party channels

Open banking ready

Leading products will incorporate bank. The outputs and categorisation will be consistent with an implementation that can be completed now

Fraud prevention enabled

ID verification, fraud prevention and data security are integral to all of our products

Fast deployment

Products and services can be up and running within two days

Bank statements offer fast, secure and automated income and expense verification, categorisation and analysis tools. Frictionless products and services are available in various formats to suit your requirements.

Utilising Bank Statements can assist

Page 17: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Regulation will only get harder

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Page 18: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Smarter use of data will be important

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Customers expect;- Their data to follow them - What we know we will use and not ask- External data sources will be used to complete where possible

- The process to be frictionless and fastSingle

Customer View

CONSUMER

Populated from Bank statements

Populated from online profile

Page 19: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

24 months of International Bank applications between 1st January 2015 – 31st December 2016

Unique illionSACC DATA

3.0%

Late CR Data1.3%

Unique illion SACC and Late CR

Data0.4%

CCR data and SACC do not necessarily intersect, proving the case that a negative bureau is important for the foreseeable future

Small credit contracts are growing SACC compliments Comprehensive Credit Reporting

Bad Rate18%12% 8%

5.4% of applications had negative adverse at illion with 10.8% going ‘bad’ at the bank (5x higher than average)

C A S E S T U D YInternational Bank

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Page 20: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Total Adverse = 2.72% Approval Rate by Bureau Cash Now

No one bureau contains all informationA mutual bank undertook a bureau validation to understand its potential risk factors not captured under a single bureau strategy

C A S E S T U D YMutual Bank

of unseen illion adverse is being approved compared to just 1 in 11 for known adverse

67%1 in 8 Personal Loan members have a SACC or MACC enquiry, of which ½ are unique to Bureau 2

1 in 8

Bureau 1 Unique = 0.7%

Bureau 2 Unique

= 0.86%Common1.16%

Approve Decline

9%

67%

91%

33%

All EquifaxAdverse

Unique illionAdverse

Bureau 2 has 74.3% of the total adverse, compared with Bureau 1 at 68%

74.3%

Unique Bureau

2

50%Multi bureau

50%

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Unique Bureau 2

Unique Bureau 1

Page 21: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Customers are moving to SaaS to improve responsiveness

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SaaS brings significant benefits to customers:

- Quicker time to implement / change- Lower costs - Upgrades managed by provider- Guaranteed service levels- Scalability for growth

Inteflow was built to support SaaS and we see an increase in the uptake or migration to this approach

Page 22: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Applicant Volume as expected remains high in the major cities and across the eastern seaboard

What do we see happening in Australia?

Page 23: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Approval Rates

All Segments

Page 24: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Approval Rates

Telco / Utility

Page 25: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Approval Rates

Trade

Page 26: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Approval Rates

Alternative Finance

Page 27: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Approval Rates

Banking

Page 28: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Brisbane

Banking

Page 29: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Sydney

Banking

Page 30: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Melbourne

Banking

Page 31: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Adelaide

Banking

Page 32: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Approval Rates will vary by industry segment

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60% 57%

79%87%

B&F AltFi Trade Telco/Util

Approval Rates by Segment

Page 33: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Applicant Volume as expected remains high in the major cities

Looking at what we see happening in NZ

Page 34: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Page 35: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Customers are moving to SaaS to improve responsiveness

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62%

82%

86%

83%

0% 20% 40% 60% 80% 100% 120%

Finance

Telco

Utility

Trade

Approval Rates by Segment

Approved Refer Decline Withdraw

Page 36: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Approval Percentages(by finance)

Approval Percentages(by telco/utilities)

Page 37: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Approval Percentages(by trade)

Page 38: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Top 5 reasons effecting customer segments

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Duplicate

Condition

Adverse

Score Decline

Data Quality

DL

Income

Adverse

Score Refer

Serviceability

Duplicate

Bureau Report Age

Adverse

Possible Match

Identification

DL

Data Quality

Company Age

Telco / Utility Finance Trade

Page 39: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

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Page 40: Inteflow User Group...captured under a single bureau strategy. CASE STUDY. Mutual Bank. of unseen illion adverse is being approved compared to just 1 in 11 for known adverse. 67%.

Vaughan DixonChief Technology Officerillion

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