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MANAGING FRAUD - HEI Services

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<strong>MANAGING</strong> <strong>FRAUD</strong><br />

FIONA INNES<br />

<strong>FRAUD</strong> MANAGER, SLC


Special Investigations Unit – (SIU)<br />

Introduction<br />

The Special Investigations unit consists of two teams, SIU and SIU2. Both are involved in<br />

investigating suspected customer fraud relating to all parts of the application process from personal<br />

information stated on the paper p form or online, to Childcare and Disabled Student Allowance claims.<br />

The teams also deal with any residency issues which may be highlighted.<br />

Size of the Team<br />

The SIU has 8 permanent members of staff and one Manager. The Manager is also responsible for<br />

SIU2 and this team also has 8 members of staff and one Team Leader.<br />

Heather Laing, the Fraud Prevention & Detection Manager ,has overall responsibility for both Teams<br />

and reports into the Company Secretary Chris Andrew.<br />

Where are we<br />

The teams are located within the Bothwell Street office in Glasgow – Contact details provided.


What do we do<br />

• The teams are responsible for monitoring the<br />

levels of fraud within the system and identifying<br />

ways in which these levels can be kept to a<br />

minimum.<br />

• As part of the work undertaken the team use a<br />

number of fraud prevention tools, reports and<br />

pattern and trend analysis techniques to ensure<br />

that we monitor the system and remove found<br />

fraud.<br />

• We also consult most areas of the Business<br />

daily to discuss potential fraud cases and ways<br />

in which fraud can be reduced.<br />

• We are consulted as part of all new projects<br />

which involve the application process and<br />

potential fraud concerns are raised and are<br />

taken into consideration when planning any new<br />

implementations.


Fraud Prevention Tool – SIRA -<br />

(Syndicated Intelligence for Risk Avoidance)<br />

• SIRA is a fraud management system provided by Synectic Solutions. The system helps the SIU track<br />

fraudulent applications within the Student Finance system by using a rules based search engine to<br />

identify duplicate information such as Bank details, email addresses and Phone numbers.<br />

• Rules have been applied to the database and all approved applications for Student Finance are run<br />

against the Rules to determine if matches are present. Any matches are presented to the team in<br />

batches depending on the Rules hit by the application. Examples of the worklists completed by the<br />

team are, Matches to Fraud, Matches to Suspect, and Multiple Matches. The lists are prioritised and<br />

worked accordingly.<br />

• The system matches current year application data and enables the team to add suspect information<br />

such as names and addresses of individuals who may apply for funding and who are not entitled to<br />

receive it.<br />

• Students applying for funding, and who have been approved, will appear on SIRA within 24 hours if<br />

they match for any reason with other current students, or fraudulent students from previous academic<br />

years.<br />

The SIRA check is carried out after all other SLC checks are undertaken. These are listed on the<br />

next page.


What checks are carried out as part of the Application<br />

Process<br />

SLC have a number of checks in place that help prevent fraud.<br />

• Our primary method of identity verification is through the Identity and Passport<br />

Service (IPS) link that uses the applicant’s passport number to verify the identity<br />

details they have submitted.<br />

•The applicant’s National Insurance Number (NINO) is also matched against DWP<br />

records.<br />

•The Verification of Household Income (VHI) checking service allows the income of the<br />

students sponsor/s to be validated via HMRC.<br />

• Once the application has been processed, the University’s s attendance confirmation<br />

provides us with a further check to ensure that the individual is in attendance before<br />

the instalments are paid.<br />

The SIU receive any exception cases highlighted as part of the above checks.


SIU2<br />

•What do we do<br />

• In order that we could understand the value of funds that could be saved through enhancing<br />

our fraud prevention and detection capability, SLC invested in membership of CIFAS and<br />

National SIRA and a team of staff (SIU 2) to work the suspect fraud cases identified as a result<br />

of this proactive work.<br />

• The SIU2 has been in post for almost 18 months and has been a positive addition to the Fraud<br />

Prevention work already undertaken by the Company by highlighting a number of high risk areas<br />

and these are listed later in this presentation.


What’s National SIRA & CIFAS<br />

National SIRA – (Syndicated Intelligence for Risk Avoidance)<br />

National SIRA is an enhanced version of SIRA which is worked by the original SIU. National SIRA allows us to match<br />

with all other external users of the service which widens our scope for preventing fraud as checking multiple<br />

applications shows any inconsistencies with information being provided by individuals across a number of other<br />

applications for finance. The system is Rules based which means each application is checked against a set of<br />

questions and any positive matches are shown in batch format for staff to review. Examples of matches are, multiple<br />

use of same, address, bank details, email addresses or telephone numbers.<br />

CIFAS – (Credit Industry Fraud Avoidance Service)<br />

As well as having access to the National SIRA data we are also linked into CIFAS. CIFAS is an organisation which<br />

collates all fraud data from organisations such as Banks, Building Society’s, Insurance Company’s plus many other<br />

financiali institutes. t The referrals from CIFAS will take priority it asthey include actual fraud cases, this means any<br />

matches we have with this data will be due to the students having committed fraud against another organisation.<br />

SLC were the first sizeable public sector organization to become members of CIFAS in September 2011.<br />

Top 5 Referral Reasons<br />

•The address has been used in connection with a fraud.<br />

•The identity details have been used in connection with a fraud.<br />

•The applicant and/or sponsor has provided false income details when applying for some form of credit (mortgages<br />

and/or other loans).<br />

•The bank details have been used in connection with a previous fraud.<br />

•The telephone number and/or e-mail address have been used in connection with a previous fraud.


What kind of fraud do we see in SLC<br />

• Eligibility<br />

Identity fraud facilitated by false identity and residence documents.<br />

Non attendance<br />

• Entitlement<br />

Sponsor claiming to be a lone parent when they are one of a couple;<br />

Childcare grant fraud;<br />

DSA grant fraud;<br />

Sponsor’s income fraud;<br />

• Diversion of payment facilitated by e.g. Phishing, smishing or vishing.


Case Studies<br />

•Two examples have been given of the type of cases the team deal with, one relates to a mature<br />

student and the other a student supported by a sponsor. Example one demonstrates how the<br />

information from CIFAS can provide us with details about aliases used by students to apply for<br />

different sources of funding. This can then be used to establish the true circumstances of the<br />

application.<br />

•Examplep<br />

1 relates to a mature student who submitted a late application on 17th October for a course<br />

that started 19th September 2011.<br />

•This account has 13 CIFAS matches that relate to adverse credit and the use of aliases for the<br />

purpose p of obtaining credit. The investigation established that the student has used various names<br />

and addresses and that she had previous undeclared study from 2004 using one of the aliases that<br />

was flagged by the CIFAS match. When questioned about a) marital status b) previous study and c)<br />

using different names and addresses, the student provided false information to prove their<br />

circumstances.<br />

•Outcome –Current funding has been stopped, the details have been recorded on CIFAS, which could<br />

impact on her future credit rating and she has been deemed unfit to receive any further student<br />

funding.


Case Studies Continued<br />

•Example two - A student has applied with a single sponsor, when indications are that<br />

the sponsor has a partner and has made applications in the wider financial services<br />

sector as one of a couple. Again, this gives us good reason to enquire into the true<br />

circumstances of the application.<br />

•Example 2 relates to a returning student under 25 who applied for funding on the basis<br />

that she was supported by a single sponsor, her mother.<br />

•This match was generated by National SIRA and relates to the household composition.<br />

Applications for credit have been made at the address shared by the student and her<br />

mother by an undeclared male, including a joint mortgage application. The investigation<br />

established that both the student and her mother had made a false statement during the<br />

application process.<br />

•Outcome – The application has been reassessed to nil entitlement and the student has<br />

been deemed unfit to receive any further funding.


Phishing<br />

What is phishing<br />

Phishing is the term given to a type of fraud which involves a third party emailing an individual pertaining to be<br />

from an organisation when in fact they are not. The individual, believing the email to be genuine, verifies a number<br />

of personal pieces of information which allows the third party to amend their online records and redirect money to<br />

another bank accounts. The SIU track and monitor student accounts if they have been victims of this type of<br />

incident, and are involved in the proactive measures put in place to combat further losses.<br />

What have SLC done to prevent these attacks<br />

• Enhanced our phishing site take down service.<br />

• Review and removal of excessive customer<br />

data held on online accounts.<br />

• Active account monitoring for previously<br />

affected and high risk accounts – together with<br />

use of IP address searches.<br />

• Customer text alerts introduced for students<br />

whose bank account details have been<br />

amended.<br />

• Duplicate bank details reports monitored daily.<br />

• Media outreach programme to warn students of the<br />

phishing threat<br />

• Outbound calling to students identified as being at risk<br />

of payment diversion<br />

• Use of existing fraud detection tools<br />

• Contacting ti universities iti directly if there are specific<br />

attacks against their students


Some Facts and Figures<br />

The figures below show the savings generated by both Units in the last 12<br />

months.<br />

Savings<br />

SIU £7,785,552.00<br />

SIU2 £2,594,815.00<br />

Analyst within SIU £3,199,540.00<br />

Total £13,579,907.00<br />

Th b fi l t t 2524 t d t h l titl d t St d t<br />

The above figures relate to 2524 students who are no longer entitled to Student<br />

Finance.


How does fraud happen<br />

• Fraud generally occurs as a result of<br />

a combination of factors.<br />

• For many years, this has been<br />

represented as the “Fraud triangle”<br />

(right).<br />

• Motivation – need or greed<br />

• Opportunity – weak controls, poor<br />

security, low likelihood of detection –<br />

some people are honest, some<br />

dishonest and some can be swayed.<br />

• Rationalisation – most people obey<br />

the law because they believe in it but<br />

can rationalise fraud “ as a<br />

victimless crime” or it’s just a fiddle,<br />

not really acrime.<br />

Motivation<br />

Rationalisation<br />

Opportunity


Summary of SLC’s anti fraud risk management approach<br />

Key priorities:<br />

Priority 1 – Build and apply knowledge and<br />

collaborate with others to prevent and detect<br />

fraud<br />

Priority 2 – Achieve economic efficiency by<br />

investing in SLC’s fraud prevention capability to<br />

reduce the amount of student funding lost to fraud<br />

Priority 3 – Develop an anti-fraud culture where<br />

countering fraud is the responsibility of all those<br />

involved in supporting and delivering the SFE<br />

service<br />

Priority 4 – Assess the risk of fraud and measure<br />

the level of fraud within student funding<br />

Pi Priority it 5 – Disrupt and punish fraudsters


What can you do<br />

Whatever Department you working in, you can do your part to reduce the impact of fraud. You may not realise the part you can play<br />

however do not underestimate your involvement in Fraud Prevention.<br />

All members of staff and colleagues, have a duty to report suspicions of fraud, both internal and external, and raise concerns where<br />

areas of weakness in procedures are identified.<br />

<strong>HEI</strong>’s can get involved by reporting any irregularities you become aware of, particularly in relation to:<br />

– Attendance; and<br />

– Status<br />

If staff have concerns with an application, or documentary evidence submitted as part of that application, details of the case should<br />

be passed to the Special Investigations Unit by either emailing siu@slc.co.uk or calling us on 0141 243 3336.<br />

If you receive a call from a student who has not received their expected funding on the payment date due, and the bank details have<br />

been amended without the students consent ,calls should be put through to the phishing hotline on 0141 243 3583.<br />

If a student has received an email asking them to verify their personal information be clicking on a link contained within the email<br />

this should be passed to phishing@slc.co.uk


QUESTIONS

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