- +254710 314 746
- info@lenoldevelopmentcenter.com
- Westpark towers 8th floor mpesi lane-off muthithi road,Westlands
Pension Fraud Prevention and Detection Training Course
Introduction
Pension fraud is a significant threat to the integrity of pension schemes, with financial losses that can undermine the long-term security of pension fund members. This course is designed to equip pension fund managers, administrators, compliance officers, and financial professionals with the tools and techniques to prevent, detect, and address fraud within pension systems. Participants will gain an in-depth understanding of the various types of pension fraud, red flags to watch for, regulatory frameworks, and best practices to mitigate fraud risks, ensuring a secure and transparent pension fund environment.
Target Audience
This course is intended for:
Course Objectives
By the end of this course, participants will be able to:
✅ Identify common types of pension fraud and schemes used by fraudsters
✅ Understand regulatory and legal frameworks for pension fraud prevention
✅ Recognize red flags and warning signs of pension fraud
✅ Implement effective internal controls and fraud detection techniques
✅ Utilize technology tools for fraud detection in pension funds
✅ Design and execute comprehensive fraud prevention strategies
✅ Educate pension fund members on fraud risks and protection measures
✅ Respond effectively to fraud incidents and reduce the risk of future occurrences
Course Modules
Module 1: Introduction to Pension Fraud
Module 2: Types and Methods of Pension Fraud
Module 3: Legal and Regulatory Frameworks for Pension Fraud Prevention
Module 4: Detecting Pension Fraud – Red Flags and Warning Signs
Module 5: Internal Controls and Fraud Prevention Strategies
Module 6: Advanced Fraud Detection Techniques
Module 7: Educating Members and Stakeholders on Pension Fraud Risks
Module 8: Responding to and Managing Pension Fraud Incidents
General remarks
Start & End Date | Location | Fee (USD) | Register |
Jan 5- Jan 9, 2026 | Kigali | 2,850 | |
Jan 26-Jan 30, 2026 | Mombasa | 1,450 | |
Feb 2- Feb 6, 2026 | Nairobi | 1,150 | |
Feb 2- Feb 6, 2026 | Pretoria | 4,000 | |
Mar 2- Mar 6, 2026 | Nairobi | 1,150 | |
Mar 23- Mar 27, 2026 | Dar es Salaam | 2,850 | |
Apr 6- Apr 10, 2026 | Nairobi | 1,150 | |
Apr 20- Apr 24, 2026 | Nairobi | 1,150 | |
May 4- May 8, 2026 | Mombasa | 1,450 | |
May 25- May 29, 2026 | Nairobi | 1,150 | |
June 1- June 5, 2026 | Kigali | 2,850 | |
June 22- June 26, 2026 | Nairobi | 1,150 | |
July 6- July 10, 2026 | Dar es Salaam | 2,850 | |
Aug 3- Aug 7, 2026 | Nairobi | 1,150 | |
Aug 24- Aug 28, 2026 | Pretoria | 4,000 | |
Sep 7- Sept 11, 2026 | Nairobi | 1,150 | |
Sep 21- Sept 25, 2026 | Mombasa | 1,450 | |
Oct 5- Oct 9, 2026 | Nairobi | 1,150 | |
Oct 5- Oct 9, 2026 | Kigali | 2,850 | |
Nov 2- Nov 6, 2026 | Nairobi | 1,150 | |
Nov 23- Nov 27, 2026 | Dar es Salam | 2,850 | |
Dec 7- Dec 11, 2026 | Nairobi | 1,150 |
Start & End Date | Fee (USD) | Register |
Jan 5-Jan 9, 2026 | 800 | |
Jan 26-Jan 30, 2026 | 800 | |
Feb 2- Feb 6, 2026 | 800 | |
Feb 23- Feb 27, 2026 | 800 | |
Mar 2- Mar 6, 2026 | 800 | |
Mar 23- Mar 27, 2026 | 800 | |
Apr 6 – Apr 10, 2026 | 800 | |
Apr 20 – Apr 24, 2026 | 800 | |
May 4 – May 8 , 2026 | 800 | |
Jun 1 – Jun 5, 2026 | 800 | |
Jun 22 – Jun 26, 2026 | 800 | |
July 6 – July 10, 2026 | 800 | |
July 27 – July, 2026 | 800 | |
Aug 3 – Aug 7, 2026 | 800 | |
Aug 24 – Aug 28, 2026 | 800 | |
Sept 7 – Sept 11, 2026 | 800 | |
Sept 21– Sept 25, 2026 | 800 | |
Oct 5 – Oct 9, 2026 | 800 | |
Oct 26 – Oct 30, 2026 | 800 | |
Nov 9 – Nov 13, 2026 | 800 | |
Dec 7 – Dec 11, 2026 | 800 |
The growing volume and complexity of records and data in organizations pose significant challenges in classification, retrieval, and management. Traditional methods of record classification can be time-consuming and prone to errors. Artificial intelligence (AI) is revolutionizing records management by enabling automated,
Open data and knowledge sharing are key pillars for driving transparency, innovation, and collaboration in both public and private sectors. By making data and knowledge freely accessible,
Change management is a critical aspect of any transformation process, especially when it involves the implementation of new knowledge and records management systems.
Effective records management in healthcare is crucial for ensuring patient safety, compliance with regulations, and operational efficiency. With the increasing digitization of medical records,
Innovation thrives in environments where knowledge is effectively managed, shared, and leveraged. Knowledge Management (KM) is essential for fostering creativity, driving continuous improvement, and maintaining a competitive edge.
The exponential growth of data in today’s digital world presents both opportunities and challenges for organizations. Big Data—characterized by its volume, velocity, variety, and complexity—requires innovative approaches to records management to ensure data is organized, accessible, secure, and compliant with regulatory requirements.
In an era where data is one of the most valuable assets for organizations, effective Information Governance (IG) is essential to ensure data is managed responsibly, securely, and in compliance with regulatory requirements. Information Governance Frameworks provide a structured approach to managing information assets, balancing risk, compliance, and value creation.
In the digital age, governments worldwide are transitioning to electronic governance (e-Governance) to improve transparency, efficiency, and public service delivery. Effective records management is critical for ensuring compliance, security, and accessibility of government records in this digital transformation.
WhatsApp us