T&S Asset Management

Lecture series

Fraud in digital lending: patterns and controls

How fraud reaches a lender and how to control it: what counts as fraud and how it differs from credit loss, identity fraud at onboarding, first-party fraud, account takeover and scams, insider and partner fraud, and how to run and measure fraud controls, with dated figures from Southeast Asia and other regions as examples. Six lessons.

3 of 6 lessons published. Lesson 1 is free to read.

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  1. 01What fraud in lending is: types, victims and how it is measuredIn lending, fraud means obtaining money or credit by deception: a loan taken under a false identity or with no intention to repay, an account taken over, or a customer deceived into borrowing or paying. This lesson separates fraud from credit loss, maps the main types and who bears each loss, shows how fraud losses are measured and how they hide among bad debts, and reads dated figures from Singapore, the United States and Europe.
  2. 02Identity fraud at onboarding: stolen, synthetic and impersonated identitiesIdentity fraud is a loan taken in a name that is not the applicant's own: a real person's stolen details, an identity assembled from real and fake information, or a real person impersonated at a live check. This lesson separates the three, follows how each one is built and why some leave no victim to complain, sets out the steps of identity proofing used by international standards, and shows with a worked example why checks are layered.Members
  3. 03First-party fraud: false information, loan stacking and bust-outsIn first-party fraud the applicant is who they say they are, but deceives the lender: by overstating income, by hiding other loans taken at the same time, or by building a good record in order to borrow as much as possible and never repay. This lesson explains why intent is what separates it from credit loss, how each pattern works, what research and international principles say about misreported income and incomplete credit data, and how to tell stacking from need with a worked example.Members
  4. 04Account takeover and scams: when the customer's account, or the customer, is usedMembers
  5. 05Insider, agent and partner fraudMembers
  6. 06Running fraud controls: layers, data sharing, measurement and who bears the lossMembers
Quiz and certificate Members7 questions; those on lesson 1 are free to try. Read every published lesson and score 80% or more for a certificate of completion.
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