Insurance Fraud Detection: Advanced Strategies

Course Introduction

This course focuses on one question: how do teams in underwriting, claims and risk-transfer operations apply Insurance Fraud Detection consistently and safely under real constraints? Five days of discussion, exercises and case work provide practical answers you can adapt to your own organisation.

Training Objectives

• 01Build a shared vocabulary and framework for Insurance Fraud Detection that your whole team can use
• 02Apply proven methods for Insurance Fraud Detection to realistic scenarios drawn from underwriting, claims and risk-transfer operations
• 03Anticipate the failure points and compliance issues that most often affect Insurance Fraud Detection
• 04Communicate Insurance Fraud Detection decisions clearly to colleagues, clients and management
• 05Prepare a personal action plan to apply Insurance Fraud Detection in your own organisation

What You Will Take Away

• A negotiation and communication cheat-sheet
• Worked examples using realistic regional scenarios
• A ready-to-use template pack for daily work

Who Should Attend

• Insurance Underwriters & Officers
• Claims Adjusters & Handlers
• Risk & Compliance Officers
• Bancassurance & Sales Teams

Prerequisites: Recommended: at least two years of relevant work experience.

Training Methodology

Building on participants' existing experience, the programme relies on case analysis, comparison of approaches and structured problem-solving rather than lecture. Case material and examples are drawn from underwriting, claims and risk-transfer operations.

Day-by-Day Programme (5 Days)

• Day 1
  Where Insurance Fraud Detection fits

  How Insurance Fraud Detection connects to wider operations in underwriting, claims and risk-transfer operations, plus the essential vocabulary.

• Day 2
  Working with the standards

  Interpreting and applying the codes and good-practice guidance that govern Insurance Fraud Detection.

• Day 3
  Tools and techniques lab

  Guided practice with the tools, checklists and templates used for Insurance Fraud Detection.

• Day 4
  Risk, compliance and case review

  Analysis of incidents and cases to see where Insurance Fraud Detection succeeds or breaks down.

• Day 5
  Consolidate and plan

  Capstone discussion, action planning and a closing assessment.

Upcoming Sessions