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Fraud Risk Management
Inspired by Sameh Darwish
Contents
• What is Fraud and what is Risk ?
• The concept of Fraud risk management
• Involved Fraud parties
• Fraud risk management tools
• Fraud detection-deterrence Quality
What is Fraud ?
• Fraud
• Is an act perpetrated using deception, trickery
and cunning
• An act that presents falsehood and suppresses
truth
Types of fraud
• Letter of Credit Fraud
• Pyramid schemes
• Pay offs fraud
• Identity Theft
To what extent is fraud critical?
Fraud statistics
• Retailers incur $580.5 million in debit card fraud
losses and spend $6.47 billion annually on credit
and debit card fraud prevention annually.
• (Source: PaymentsJournal, Feb. 2012)
• Financial institutions incurred $955 million in
losses due to debit card fraud in 2010 – a 21%
increase from the $788 million in losses incurred
during 2008.
• (Source: ABA Deposit Account Fraud Survey,
2011)
•
What is Risk ?
• Risk
• Is a small probability of a big loss
• Risk arises from uncertainty
• Risk incurs a strategic decision process
• So we are facing risk associated with the
may-to happen losses that arise from fraud
• And we have to put a strategy or
methodology to combat this risk
• So we need the Fraud Risk Management
Fraud parties
• Card
• Fraudster
• Financial Data
• Card holder
• Fraud detection agent
• Fraud detection system
• Merchant
• Issuer
• Acquirer
• Payment systems
Fraud combatting methodologies
• Detection
• Deterrence
• Prevention
Card
• Technology of card security is always in
improvement
• As in EMV,IPIN
• Who is the fraudster?
• A person who has a financial pressure and has
the rationalization in an atmosphere when
opportunity is there to commit fraud
Fraudster
Types of fraudsters
• A fraudster may be
• A self-interest fraudster
Or may be those;
• Terrorists can finance their operations by the
proceeds coming from;
• Oil
• Trafficking
• Money laundering
• Weapons deals
• Credit cards fraud
Fraud triangle
Fraudster’s psychology
• Psychological Motives
• The concept of “every one is getting rich and I
want to be so”
• The inherent concept of “catch me if you can”,
“I am professional and could not be caught”
• The financial pressure or the economic need
To catch a crook think like a crook
To catch a fraudster think like a fraudster
Exercise
• In front of you a card with 50.000 usd
• In 5 minutes just list all the possibilities to get
whatever you can of the amounts imbedded
in the card.
Financial data
• What matters is how to secure the financial
data against breaches
Card holder
• Cardholder has to be well informed about
security measures as in;
• Not to deal with but recognized
merchants/sites
• Has to secure and not prevail pin code/cvv2
Merchant
• Merchant role is to
• Perform internal audit against employees
• Perform well verification to cardholder
• Be aware of latest fraud trends
• Secure its network/database
Issuer
• Issuer role is to;
• Secure its database system
• Update its network of information in regard to fraud
triggers
• Manage capable systems to deter fraud
• Have a coherent KYC approach
• Cooperate with Acquirers for fraud investigation
• Educate cardholders of data security
Acquirer
• Acquirer role is to;
• Well screening of its merchant activities
• Cooperate with issuers for fraud investigation
• Secure its database
• Manage capable systems to deter fraud
• Update its network of information in regard to
fraud triggers
• Provide training to merchants
Payment system
• Payment system role is to;
• Circulate its valuable information gathered
from internal investigation or major
intelligence bodies to issuers and acquirers
Fraud detection systems
• Role of fraud detection and deterrence
system is to;
• Easily detect fraud triggers
• Guarantee flexible algorithms and
methodologies
• Guarantee effective action techniques
Fraud detection-deterrance systems
• Offline system
• Quasi-online system
• Online system
Offline system
• Its methodology;
• Is generating a report from system including
all transactional flow that occurred for a
specific bank during a specific period based on
basic parameters or guidelines inspired by the
payment system
• Action against profiles is handled manually
Quasi-online system
• Its methodology;
• Is filtering the transactional flow after
authorizations have been obtained in a very
short period of time based on flexible preset
rules and algorithms in the light of alert
grouping
• Action against suspected profiles is handled
manually
Online system
• Its methodology;
• Is permitting or declining authorizations on
the spot based on preset parameters and
algorithms
• Action against suspected profiles is handled
automatically
Fraud detection-deterrence clerk
• His role is to;
• Analyze transactional flow to abruptly detect
fraud triggers
• Help in taking the proper decision against such
triggers
• Has to have;
• Updated information regarded the fraud
trends
• Experience in dealing with transactional flow
• Decision quality
• Abrupt intuition and snap judgments
• Basic information upon geographical regions
Fraud detection-deterrence clerk
What matters in fraud
combatting is decision
quality and analysis
• Decision in setting algorithms
• Decision in taking actions
against off-pattern
transactions
What are the types of decisions
Strategic decision
•
Organizational decision
•
Decisions
• Rigorous Decision
• Of life shaping importance
• Difficult
• Incurs much time
• Conscious
• Critical but not of life shaping importance
• Quick
• Every-day easy decisions
Exercise
• A man and his son are in a serious car accident.
The father is killed, and the son is rushed to the
Emergency room. Upon arrival,
• the attending doctor looks at the child and
gasps, “This child is my son!”
• Who is the doctor?
• Please do not answer before taking time
From "blink" book
The answer is
The doctor is the child’s mother
Most of the people were unable to answer the
question simply because the word “doctor”
is subconsciously related to males more than
females so most of the people did not link the
female gender to the word that ,in their
subconscious, is naturally a word for males.
The exercise leads us to tackle two different types of thinking
Deliberate thinking
Instinctive Thinking
• Deliberate thinking
• -when there is much time available
• -when volume does not matter
• Instinctive thinking
• -when there is no enough time
• -when volume matters
Deliberate
thinking
Instinctive
thinking
• The appropriate decision is achieved when
making a proper balance between
• Deliberate thinking
• As spending more time in inspection could
lead to upcoming authorized fraudulent
transactions
• Instinctive thinking
• As spending less time in inspection could lead
to oversight that lead to a wrong decision
Quick rational decision
• To achieve a high quality quick decision there
should be
• Sharp and quick analytical skills
• Snap judgments +rational thinking
• Experience+ Intuition+ Sense+ Training
Analytical skills
Combines;
• Ratio analysis
per merchant
per country
per amounts….etc
• Statistics
False-positive statistics
Fraud deterrence quality
Useful
information
Abrupt
analytical
skills
Advanced
capable
system
Cognitive biases and fraud detection
Effect of cognitive biases in fraud detection quality
What is cognitive biases?
Cognitive biases and fraud detection
is a pattern of deviation in judgment, whereby
inferences about other people and situations
may be drawn in an illogical fashion.
Cognitive biases and fraud detection
Types of cognitive biases
Availability
Anchoring and adjustments
• Availability
• The availability heuristic is a mental shortcut
that relies on immediate examples that come
to a given person's mind when evaluating a
specific topic, concept, method or decision.
Types of cognitive biases
• It happens when incidents that are
recent/dramatic /redundant are easily to be
recalled
Types of cognitive biases
Relation to fraud triggers
• If a major hack incident occurred in Mexico,
we are much likely to relate any single
transaction in Mexico to be a fraudulent one
which is not true.
• However, our psychology plays a big role in
leading us to stereotype such a dramatic and
recent incident.
Solution to availability Bias
• We can overcome the bias by;
• Proposing percentage for the likelihood of the
event
• Such percentage to be proposed by specific
tools so as to avoid anchoring
• Based upon the proposed percentage as well
as the sound statistics we can determine
whether the transactions are genuine or not
• Anchoring and adjustments
• The anchoring and adjustment heuristic ;is a
mental shortcut that relies on having a prior
estimate that we adjust whatever we have of
information to meet such prior estimate
Types of cognitive biases
• It happens when we lean on our prior casted
probability percentage and adjust our
conclusions to meet such prior estimate.
Types of cognitive biases
• When we cast a probability percentage on a
specific incident to be fraudulent
• We usually lean on this percentage in our
analysis and statistics gathering.
Relation to fraud triggers
A psychological approah in "credit card fraud risk management"

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A psychological approah in "credit card fraud risk management"

  • 2. Contents • What is Fraud and what is Risk ? • The concept of Fraud risk management • Involved Fraud parties • Fraud risk management tools • Fraud detection-deterrence Quality
  • 3. What is Fraud ? • Fraud • Is an act perpetrated using deception, trickery and cunning • An act that presents falsehood and suppresses truth
  • 4. Types of fraud • Letter of Credit Fraud • Pyramid schemes • Pay offs fraud • Identity Theft
  • 5. To what extent is fraud critical?
  • 6. Fraud statistics • Retailers incur $580.5 million in debit card fraud losses and spend $6.47 billion annually on credit and debit card fraud prevention annually. • (Source: PaymentsJournal, Feb. 2012) • Financial institutions incurred $955 million in losses due to debit card fraud in 2010 – a 21% increase from the $788 million in losses incurred during 2008. • (Source: ABA Deposit Account Fraud Survey, 2011)
  • 7.
  • 8.
  • 9. What is Risk ? • Risk • Is a small probability of a big loss • Risk arises from uncertainty • Risk incurs a strategic decision process
  • 10. • So we are facing risk associated with the may-to happen losses that arise from fraud • And we have to put a strategy or methodology to combat this risk • So we need the Fraud Risk Management
  • 11. Fraud parties • Card • Fraudster • Financial Data • Card holder • Fraud detection agent • Fraud detection system • Merchant • Issuer • Acquirer • Payment systems
  • 12. Fraud combatting methodologies • Detection • Deterrence • Prevention
  • 13. Card • Technology of card security is always in improvement • As in EMV,IPIN
  • 14. • Who is the fraudster? • A person who has a financial pressure and has the rationalization in an atmosphere when opportunity is there to commit fraud Fraudster
  • 15. Types of fraudsters • A fraudster may be • A self-interest fraudster
  • 16. Or may be those;
  • 17. • Terrorists can finance their operations by the proceeds coming from; • Oil • Trafficking • Money laundering • Weapons deals • Credit cards fraud
  • 19. Fraudster’s psychology • Psychological Motives • The concept of “every one is getting rich and I want to be so” • The inherent concept of “catch me if you can”, “I am professional and could not be caught” • The financial pressure or the economic need
  • 20. To catch a crook think like a crook
  • 21. To catch a fraudster think like a fraudster
  • 22. Exercise • In front of you a card with 50.000 usd • In 5 minutes just list all the possibilities to get whatever you can of the amounts imbedded in the card.
  • 23. Financial data • What matters is how to secure the financial data against breaches
  • 24. Card holder • Cardholder has to be well informed about security measures as in; • Not to deal with but recognized merchants/sites • Has to secure and not prevail pin code/cvv2
  • 25. Merchant • Merchant role is to • Perform internal audit against employees • Perform well verification to cardholder • Be aware of latest fraud trends • Secure its network/database
  • 26. Issuer • Issuer role is to; • Secure its database system • Update its network of information in regard to fraud triggers • Manage capable systems to deter fraud • Have a coherent KYC approach • Cooperate with Acquirers for fraud investigation • Educate cardholders of data security
  • 27. Acquirer • Acquirer role is to; • Well screening of its merchant activities • Cooperate with issuers for fraud investigation • Secure its database • Manage capable systems to deter fraud • Update its network of information in regard to fraud triggers • Provide training to merchants
  • 28. Payment system • Payment system role is to; • Circulate its valuable information gathered from internal investigation or major intelligence bodies to issuers and acquirers
  • 29. Fraud detection systems • Role of fraud detection and deterrence system is to; • Easily detect fraud triggers • Guarantee flexible algorithms and methodologies • Guarantee effective action techniques
  • 30. Fraud detection-deterrance systems • Offline system • Quasi-online system • Online system
  • 31. Offline system • Its methodology; • Is generating a report from system including all transactional flow that occurred for a specific bank during a specific period based on basic parameters or guidelines inspired by the payment system • Action against profiles is handled manually
  • 32. Quasi-online system • Its methodology; • Is filtering the transactional flow after authorizations have been obtained in a very short period of time based on flexible preset rules and algorithms in the light of alert grouping • Action against suspected profiles is handled manually
  • 33. Online system • Its methodology; • Is permitting or declining authorizations on the spot based on preset parameters and algorithms • Action against suspected profiles is handled automatically
  • 34. Fraud detection-deterrence clerk • His role is to; • Analyze transactional flow to abruptly detect fraud triggers • Help in taking the proper decision against such triggers
  • 35. • Has to have; • Updated information regarded the fraud trends • Experience in dealing with transactional flow • Decision quality • Abrupt intuition and snap judgments • Basic information upon geographical regions Fraud detection-deterrence clerk
  • 36. What matters in fraud combatting is decision quality and analysis
  • 37. • Decision in setting algorithms • Decision in taking actions against off-pattern transactions
  • 38. What are the types of decisions Strategic decision • Organizational decision •
  • 39. Decisions • Rigorous Decision • Of life shaping importance • Difficult • Incurs much time • Conscious • Critical but not of life shaping importance • Quick • Every-day easy decisions
  • 40. Exercise • A man and his son are in a serious car accident. The father is killed, and the son is rushed to the Emergency room. Upon arrival, • the attending doctor looks at the child and gasps, “This child is my son!” • Who is the doctor? • Please do not answer before taking time From "blink" book
  • 41. The answer is The doctor is the child’s mother
  • 42. Most of the people were unable to answer the question simply because the word “doctor” is subconsciously related to males more than females so most of the people did not link the female gender to the word that ,in their subconscious, is naturally a word for males.
  • 43. The exercise leads us to tackle two different types of thinking
  • 45. • Deliberate thinking • -when there is much time available • -when volume does not matter • Instinctive thinking • -when there is no enough time • -when volume matters
  • 47. • The appropriate decision is achieved when making a proper balance between • Deliberate thinking • As spending more time in inspection could lead to upcoming authorized fraudulent transactions • Instinctive thinking • As spending less time in inspection could lead to oversight that lead to a wrong decision
  • 48. Quick rational decision • To achieve a high quality quick decision there should be • Sharp and quick analytical skills • Snap judgments +rational thinking • Experience+ Intuition+ Sense+ Training
  • 49. Analytical skills Combines; • Ratio analysis per merchant per country per amounts….etc • Statistics False-positive statistics
  • 51. Cognitive biases and fraud detection Effect of cognitive biases in fraud detection quality
  • 52. What is cognitive biases? Cognitive biases and fraud detection
  • 53. is a pattern of deviation in judgment, whereby inferences about other people and situations may be drawn in an illogical fashion. Cognitive biases and fraud detection
  • 54. Types of cognitive biases Availability Anchoring and adjustments
  • 55. • Availability • The availability heuristic is a mental shortcut that relies on immediate examples that come to a given person's mind when evaluating a specific topic, concept, method or decision. Types of cognitive biases
  • 56. • It happens when incidents that are recent/dramatic /redundant are easily to be recalled Types of cognitive biases
  • 57. Relation to fraud triggers • If a major hack incident occurred in Mexico, we are much likely to relate any single transaction in Mexico to be a fraudulent one which is not true. • However, our psychology plays a big role in leading us to stereotype such a dramatic and recent incident.
  • 58. Solution to availability Bias • We can overcome the bias by; • Proposing percentage for the likelihood of the event • Such percentage to be proposed by specific tools so as to avoid anchoring • Based upon the proposed percentage as well as the sound statistics we can determine whether the transactions are genuine or not
  • 59. • Anchoring and adjustments • The anchoring and adjustment heuristic ;is a mental shortcut that relies on having a prior estimate that we adjust whatever we have of information to meet such prior estimate Types of cognitive biases
  • 60. • It happens when we lean on our prior casted probability percentage and adjust our conclusions to meet such prior estimate. Types of cognitive biases
  • 61. • When we cast a probability percentage on a specific incident to be fraudulent • We usually lean on this percentage in our analysis and statistics gathering. Relation to fraud triggers