Course Outline

Module 1: Fundamentals of Motor & Employer’s Liability Insurance

• Introduction to motor and employer’s liability insurance

• Key policy coverages, exclusions, and extensions

• The role of insurance in managing corporate and individual risks

• Legal and regulatory framework for these insurance types

• Case Study: Analyzing policy coverages in real-world scenarios

Module 2: Underwriting and Risk Assessment for Motor Insurance

• The underwriting process for private and commercial motor insurance

• Risk factors affecting motor insurance premiums

• Telematics and data-driven underwriting for motor policies

• Emerging trends in motor insurance underwriting

• Case Study: Assessing risk profiles for different vehicle categories

Module 3: Employer’s Liability Insurance and Workplace Risk Management

• Understanding employer’s liability insurance coverage

• Identifying workplace hazards and occupational risks

• The impact of occupational health and safety (OHS) regulations

• Claims handling process and compensation structures

• Case Study: Managing liability claims in workplace accidents

Module 4: Claims Management and Fraud Prevention Strategies

• Claims process for motor and employer’s liability insurance

• Common causes of fraudulent claims and red flags to watch for

• The role of forensic investigations in claims assessment

• Legal and ethical considerations in claims management

• Case Study: Investigating a suspicious motor insurance claim

Module 5: Emerging Trends and Technologies in Motor & Employer’s Liability Insurance

• The impact of digital transformation and InsurTech innovations

• AI and big data applications in underwriting and claims processing

• The role of blockchain and smart contracts in policy management

• Future developments and evolving risks in the insurance industry

• Case Study: Implementing AI-driven fraud detection systems