NATIONAL INSURANCE ACADEMY

PUNE

 

P749 - FRAUD ANALYTICS IN MOTOR INSURANCE (NON-LIFE)

(2024 - 25)

 

Background:

 

Globally, insurance frauds are a major challenge for insurers. Left unchecked, it can distort profitability of insurers and also increase insurance prices causing significant consumer detriment. Ultimately, this can adversely affect the competitive position of players. Frauds can exist at various points of the insurance value chain. They are also deeply linked to the operational risk profile of insurers.

 

The estimated value of insurance frauds in India for Life and General Insurance combined is more than 20,000 crore.  Motor insurance frauds account for a major share of claims outgo, thereby impacting the bottom-line of insurance companies.  It is, therefore, imperative for insurers to have a robust fraud management system covering the entire insurance value chain.

 

Objectives:

 

This programme aims to facilitate the participants to:

 

§  Gain insight into fraud and its implication for motor portfolio

§  Understand the sources of frauds.

§  Understand patterns of, and steps for, prevention

§  Minimize the impact of frauds.

§  Use of analytics in detecting & managing motor insurance frauds

 

Contents:

 

§  Fraud and its impact on Motor portfolio

§  Classification of frauds

§  Identification of key areas and pattern of fraud

§  Detection of frauds - Fraud triggers / Red flags

§  Frauds in underwriting, claims

§  Fraud Investigation

§  Technology intervention in fraud management

§  Fraud analytics - Impact on decision making.

§  Role of law enforcing agencies in curbing frauds 

§  Creating a framework for managing frauds

§  Fine-tuning claims strategy

 

Participants’ Profile:

 

Officials handling Motor Insurance; Officials in analytics department in Head Office, Regional Offices, Motor Hubs, Operating Offices of Indian and foreign public & private sector General Insurance Companies.

 

Duration:       2 Days

 

Dates:

 

     I.     02.09.2024 - 03.09.2024 

  II.     28.11.2024 - 29.11.2024