Alternative Finance & Payments stream - Stuart Sykes slides

1. Front Line Defence – In
ADigital World

2. DATE
FRONT LINE
• As an online company we require the maximum amount of information on our clients, besides the usual
personal data. The information that we obtain via our front line IP provider helps us build a better
understanding of the potential client, in addition to the personal information submitted by the client.
Another benefit is the unique device number provided; this device is recorded within their vast database
allowing subscribers to view this database to observe the device history.
• The unique information presented to us from our provider is: Device type, Real IP address, Country,
Region, City and Service Provider. Other information is evidence placed on the device by other
Subscribers as well as ourselves; this can include True ID Theft and Credit Card Fraud among many
other types.
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3. DATE
THE BREAKDOWN
• We are also able to set our own rules, with varying output responses e.g. Allow, Review and Deny
depending on a company’s appetite for risk. The below table show some of rules present, evidence
placed by us or other subscribers is shown below including the ratio seen within the applications sent for
Review:
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Rules Aug-14
Country List 21%
Device ID is Unique 5%
Risky Device 4%
High Risk ISP 3%
High Risk IP 5%
MYJAR Evidence Exists 4%
Mobile Emulator Detected 1%
Potential Financial Difficulties 2%
Proxy in Use 1%
Subscriber Evidence 19%
Timezone vs Geolocation Mismatch 32%
Risky Transactions A 3%
Risky Transactions B 2%

4. DATE
THE FURTHER BREAKDOWN
• In addition to the above IP database we also use rules within our own database, this mainly looks at
velocity, related clients history and defined known risks. All accounts that fail any of our rule sets are
sent for review by our validation team and our fraud manager.
• There are varying types of fraud seen by us; however, the majority of the fraud seen can be broken
down into different standards of fraud and analysed. A breakdown of this for 2013 and YTD can be seen
below:
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Fraud Definitions 2013 YTD
Application Fraud 11.50% 2.50%
Account Take-Over/Hijacking 0.50% 0.20%
Fraud Other 1.10% 0.70%
Identity Fraud 50.00% 34.30%
Misuse of Facility Fraud 11.60% 15.00%
Subscriber Evidence Fraud 20.30% 37.70%
Returned as Fraud from DC 5.10% 9.60%

5. DATE
FRAUD GANGS MO
• Crime gangs like to operate using stolen identities which can be obtained from the ‘dark web’, in tandem
with cloned/stolen cards. Their favoured MO as observed by us is using a dynamic IP or open public
network fraudulently applying for loans using a windows pc. As their patterns are usually consistent we
are usually able to have some impact on their operation however some naturally slip through.
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6. Group Head of
Collections, Recoveries
and Fraud
STUART SYKES
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