Masterclass & Best Practices in Insurance Fraud Detection

Course Introduction

Whether you are new to Insurance Fraud Detection or refining existing skills, this masterclass-style course gives you a structured path through the subject as it applies to underwriting, claims and risk-transfer operations, guided by instructors who have worked in the field.

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 checklist of common pitfalls and how to avoid them
• Benchmarks and KPIs to track your own results
• A negotiation and communication cheat-sheet

Who Should Attend

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

Prerequisites: Best suited to experienced practitioners and team leaders.

Training Methodology

Run as a senior-practitioner masterclass, the programme centres on expert-led discussion, peer exchange and deep analysis of complex situations. Case material and examples are drawn from underwriting, claims and risk-transfer operations.

Day-by-Day Programme (5 Days)

• Day 1
  Getting oriented: the landscape of Insurance Fraud Detection

  Scope, terminology and the standards and regulations that shape Insurance Fraud Detection in underwriting, claims and risk-transfer operations.

• Day 2
  Core concepts and methods

  The principles, codes and best-practice approaches that leading organisations rely on for Insurance Fraud Detection.

• Day 3
  Applying it on the job

  Hands-on exercises using tools and templates for Insurance Fraud Detection, built around realistic situations in underwriting, claims and risk-transfer operations.

• Day 4
  Cases, risks and lessons learned

  Case studies, typical pitfalls and the risk and compliance issues that arise with Insurance Fraud Detection.

• Day 5
  Bringing it together

  Consolidation workshop, personal action planning and a closing knowledge check on Insurance Fraud Detection.

Upcoming Sessions