Insights Into Claim Fraud

Programme Highlights

It is reported that insurance fraud accounts for 10% of all incurred claims paid by the insurance industry each year.  In the USA alone, this can amount to tens of billions of dollars. This 1-day programme will draw participants’ attention to the different types of claim fraud, by distinguishing between hard fraud and soft fraud. Participants will also learn the reasons for the rising trend in soft fraud and the prevalent types of soft fraud today. With the aid of case studies, the programme will also highlight how soft fraud can be detected, investigated and tackled.

7 CPD Hours
Mode: Face-to-face training
Date: 24 March 2025
Time: 9.00 a.m. to 5.00 p.m.

For Whom

  • Claims Practitioners with 3 to 5 years of work experience in handling insurance claims.
  • Other Practitioners who are interested in knowing more about insurance fraud.

Key Learning Objectives

At the end of the programme, participants should be able to:

  • Know the types of claim fraud.
  • Differentiate between hard and soft fraud.
  • Understand the reasons for the rising trend in soft fraud and know who the fraud prevention bodies are.
  • Learn how to detect, investigate, and tackle soft fraud.

Programme Outline

  • Types of claim fraud.
  • Hard & soft fraud.
  • Reasons for rising trend in soft fraud.
  • Common insurance soft fraud.
  • Fraud prevention bodies.
  • Detecting & investigating soft fraud.
  • Tackling soft fraud.
  • Sharing of cases.

Programme Leader

Chan Hwee Seng began his Loss Adjusting career in 1972. In his 43 years as a Loss Adjuster, he had dealt with large numbers of property, liability, construction, fine arts and species insurance claims.

Programme Fee

Full Course Fee: S$414.20 (incl. of 9% GST)

Net Course Fee: S$300.20 (incl. of 9% GST and after 30% FTS funding) for Singapore Citizens below 40 years old and Singapore Permanent Residents

Net Course Fee: S$148.20 (incl. of 9% GST and after 70% FTS funding) for Singapore Citizens aged 40 years old and above

Register Now
Last Updated Date:
31/12/24

Insights Into Claim Fraud

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