Social Security & Risk Management

This DIXONTECH course offers an in-depth understanding of social security systems, social risk management, and protection policies that safeguard individuals and organizations against financial, health, and employment-related risks. Participants will explore how social insurance, welfare schemes, and risk management frameworks can be designed, implemented, and evaluated to promote social and economic stability. The program integrates international best practices, including ILO, OECD, and World Bank frameworks, for building resilient and inclusive social protection systems.

TRAINING TOPICS

• Foundations of Social Security and Protection Systems

• Social Risk Identification and Mitigation Frameworks

• Policy Design, Governance, and Compliance Mechanisms

• Financial Sustainability and Actuarial Risk Assessment

• International Best Practices in Social Risk Management

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

• Understand global models of social protection systems

• Identify and assess social and economic risks

• Design and implement social risk mitigation policies

• Evaluate sustainability and fiscal impacts of social programs

• Apply international standards and good governance principles

• Strengthen social security administration and delivery mechanisms

• Build data-driven, inclusive, and adaptive social safety networks

TRAINING IS TAILORED TO:

• Social Security and Pension Administrators

• Policy Makers and Government Officials

• Financial and Risk Management Experts

• HR and Compensation Specialists

• Economists and Social Protection Analysts

• Non-Governmental and International Organization Staff

• Corporate Welfare and Benefits Managers

TRAINING METHODOLOGY

This DIXONTECH course combines expert-led lectures, comparative international case studies, and group exercises. Participants will engage in practical policy simulations, actuarial analysis exercises, and program evaluation workshops. The course emphasizes real-world policy frameworks, data analytics, and collaborative strategies for improving social security governance and risk management systems.

DAY 1

Introduction to Social Security Systems and Frameworks

• Evolution and objectives of social security systems

• Principles of protection, equity, and sustainability

• Social security pillars: contributory and non-contributory schemes

• The role of governments, employers, and individuals

• Key international organizations: ILO, OECD, and World Bank models

• Overview of national and regional social protection systems

• Challenges in extending coverage to informal sectors

DAY 2

Social Risk Identification and Assessment

• Understanding social and economic risks to individuals

• Typology of risks: life-cycle, income, health, and employment risks

• Risk mapping and vulnerability assessment models

• Early warning indicators for social instability

• Role of insurance, savings, and safety nets in risk mitigation

• Data-driven approaches for social risk monitoring

• Case study: managing unemployment and pension risks

DAY 3

Designing Social Security Policies and Programs

• Policy formulation process and stakeholder involvement

• Defining eligibility, benefits, and financing mechanisms

• Integrating social insurance with public welfare systems

• Governance, transparency, and accountability frameworks

• Regulatory compliance and policy evaluation

• Gender and inclusion in social security programs

• Workshop: drafting a national social protection policy

DAY 4

Financial Management and Risk Mitigation in Social Systems

• Funding models: PAYG, funded, and hybrid systems

• Actuarial analysis and long-term financial forecasting

• Managing investment risks in social security funds

• Auditing and monitoring of social insurance schemes

• Detecting and preventing fraud and mismanagement

• International best practices in fund governance

• Practical exercise: financial sustainability analysis

DAY 5

Global Trends and Future of Social Risk Management

• Digital transformation in social protection systems

• Using AI and big data in social risk analysis

• Cross-border social security agreements and mobility

• Adapting to demographic change and aging populations

• Climate, health, and migration-related social risks

• Measuring impact and continuous improvement mechanisms

• Group project: designing a resilient social security model