| Course Date |
Duration |
Location |
Registration |
| 04/05/2026
To 08/05/2026 |
5 Days |
Singapore |
|
|
|
| 11/05/2026
To 15/05/2026 |
5 Days |
Dar es Salaam, Tanzania |
|
|
|
| 18/05/2026
To 22/05/2026 |
5 Days |
Kigali, Rwanda |
|
|
|
| 25/05/2026
To 29/05/2026 |
5 Days |
Nairobi, Kenya |
|
|
|
| 01/06/2026
To 05/06/2026 |
5 Days |
Nairobi, Kenya |
|
|
|
| 08/06/2026
To 12/06/2026 |
5 Days |
Mombasa, Kenya |
|
|
|
| 15/06/2026
To 19/06/2026 |
5 Days |
Cape Town, South Africa |
|
|
|
| 22/06/2026
To 26/06/2026 |
5 Days |
Dar es Salaam, Tanzania |
|
|
|
| 29/06/2026
To 03/07/2026 |
5 Days |
Guangzhou, China |
|
|
|
| 06/07/2026
To 10/07/2026 |
5 Days |
Mombasa, Kenya |
|
|
|
| 13/07/2026
To 17/07/2026 |
5 Days |
Kigali, Rwanda |
|
|
|
| 20/07/2026
To 24/07/2026 |
5 Days |
Cape Town, South Africa |
|
|
|
| 27/07/2026
To 31/07/2026 |
5 Days |
Cape Town, South Africa |
|
|
|
| 03/08/2026
To 07/08/2026 |
5 Days |
Pretoria, South Africa |
|
|
|
| 10/08/2026
To 14/08/2026 |
5 Days |
Singapore |
|
|
|
| 17/08/2026
To 21/08/2026 |
5 Days |
Dubai, UAE |
|
|
|
| 24/08/2026
To 28/08/2026 |
5 Days |
Guangzhou, China |
|
|
|
| 31/08/2026
To 04/09/2026 |
5 Days |
Kigali, Rwanda |
|
|
|
| 07/09/2026
To 11/09/2026 |
5 Days |
Kigali, Rwanda |
|
|
|
| 14/09/2026
To 18/09/2026 |
5 Days |
Dar es Salaam, Tanzania |
|
|
|
| 21/09/2026
To 25/09/2026 |
5 Days |
Addis Ababa, Ethiopia |
|
|
|
| 28/09/2026
To 02/10/2026 |
5 Days |
Nairobi, Kenya |
|
|
|
| 05/10/2026
To 09/10/2026 |
5 Days |
Addis Ababa, Ethiopia |
|
|
|
| 12/10/2026
To 16/10/2026 |
5 Days |
Dar es Salaam, Tanzania |
|
|
|
| 19/10/2026
To 23/10/2026 |
5 Days |
Mombasa, Kenya |
|
|
|
| 26/10/2026
To 30/10/2026 |
5 Days |
Nairobi, Kenya |
|
|
|
| 02/11/2026
To 06/11/2026 |
5 Days |
Nairobi, Kenya |
|
|
|
| 09/11/2026
To 13/11/2026 |
5 Days |
Nairobi, Kenya |
|
|
|
| 16/11/2026
To 20/11/2026 |
5 Days |
Addis Ababa, Ethiopia |
|
|
|
| 23/11/2026
To 27/11/2026 |
5 Days |
Istanbul, Turkey |
|
|
|
| 30/11/2026
To 04/12/2026 |
5 Days |
Istanbul, Turkey |
|
|
|
| 07/12/2026
To 11/12/2026 |
5 Days |
Addis Ababa, Ethiopia |
|
|
|
| 14/12/2026
To 18/12/2026 |
5 Days |
Dubai, UAE |
|
|
|
| 21/12/2026
To 25/12/2026 |
5 Days |
Dar es Salaam, Tanzania |
|
|
|
| 28/12/2026
To 01/01/2027 |
5 Days |
Kuala Lumpur, Malaysia |
|
|
|
SME Credit Analysis Training Course
Introduction
The SME Credit Analysis Course is designed to equip banking and finance professionals with practical skills in assessing the creditworthiness of small and medium enterprises (SMEs). SMEs are the backbone of most economies, yet they present unique credit risks due to limited financial records, informal operations, and fluctuating cash flows. This course provides a comprehensive understanding of SME lending, risk assessment techniques, and financial analysis tools tailored specifically for SME financing.
In today’s evolving financial landscape, financial institutions must adopt innovative credit assessment methods to support SME growth while minimizing credit risk. This training covers key areas such as financial statement analysis, cash flow evaluation, credit scoring, collateral assessment, and risk mitigation strategies. Participants will gain insights into SME financing frameworks aligned with global best practices and regulatory guidance from institutions like the World Bank and local regulators such as the Central Bank of Kenya.
The course emphasizes practical application through real-world case studies, financial modeling exercises, and credit evaluation simulations. Participants will learn how to analyze SME business models, assess repayment capacity, structure loan products, and monitor credit performance. The training also explores alternative data sources, digital lending platforms, and innovative approaches to SME credit assessment.
By the end of this training, participants will be able to make informed SME lending decisions, reduce default risks, and support sustainable business growth. This course empowers professionals to enhance SME portfolio quality, improve credit appraisal processes, and contribute to financial inclusion and economic development.
Course Objectives
- Understand the fundamentals of SME credit analysis.
- Assess SME financial statements and cash flows.
- Evaluate business models and credit risk factors.
- Apply credit scoring and rating techniques.
- Analyze collateral and security requirements.
- Structure SME loan products effectively.
- Monitor and manage SME credit portfolios.
- Apply risk mitigation and recovery strategies.
- Use data analytics in SME credit assessment.
- Apply real-world case studies in SME lending.
Organization Benefits
- Improved SME credit assessment and decision-making.
- Reduced default rates and non-performing loans.
- Enhanced SME portfolio quality and profitability.
- Increased financial inclusion and SME support.
- Strengthened risk management frameworks.
- Improved loan structuring and pricing strategies.
- Better monitoring and recovery of SME loans.
- Enhanced staff capacity in SME credit analysis.
- Increased competitiveness in SME financing markets.
- Improved alignment with regulatory requirements.
Target Participants
- Credit analysts and loan officers.
- Bankers and microfinance professionals.
- Risk managers and compliance officers.
- SME relationship managers.
- Financial analysts and investment officers.
- Development finance professionals.
- Entrepreneurs and business advisors.
Course Outline
Module 1: Introduction to SME Credit Analysis
- Overview of SMEs and their economic importance.
- Characteristics of SME lending.
- Risks and challenges in SME financing.
- SME credit lifecycle.
- Role of financial institutions in SME financing.
- Case study: SME financing in developing economies.
Module 2: Financial Statement and Cash Flow Analysis
- Understanding SME financial statements.
- Cash flow analysis for SMEs.
- Financial ratios and performance indicators.
- Identifying financial strengths and weaknesses.
- Adjusting financial statements for analysis.
- Case study: Financial analysis of an SME borrower.
Module 3: Credit Risk Assessment and Scoring
- Credit risk factors in SMEs.
- Credit scoring models and methodologies.
- Qualitative and quantitative assessment.
- Risk rating systems.
- Data requirements for SME credit analysis.
- Case study: Developing an SME credit scoring model.
Module 4: Collateral and Loan Structuring
- Types of collateral and security.
- Valuation of assets and guarantees.
- Loan structuring and repayment schedules.
- Pricing of SME loans.
- Risk mitigation strategies.
- Case study: Structuring an SME loan facility.
Module 5: Monitoring and Portfolio Management
- Monitoring SME loan performance.
- Early warning signals of default.
- Portfolio diversification strategies.
- Managing non-performing loans (NPLs).
- Loan recovery and restructuring.
- Case study: Managing SME credit portfolios.
Module 6: Technology and Innovation in SME Lending
- Digital lending platforms and FinTech solutions.
- Alternative data in credit assessment.
- Automation in credit analysis.
- Data analytics and risk management.
- Future trends in SME financing.
- Case study: FinTech-driven SME lending models.
General Information
- Customized Training: All our courses can be tailored to meet the specific needs of participants.
- Language Proficiency: Participants should have a good command of the English language.
- Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.
- Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
- Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.
- Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
- Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
- Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.
- Equipment: Tablets and laptops can be provided to participants at an additional cost.
- Post-Training Support: We offer one year of free consultation and coaching after the course.
- Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.
- Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
- Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.
- Website: Visit our website at www.fdc-k.org for more information.
Foscore Development Center |Training Courses | Monitoring and Evaluation|Data Analysis|Market Research |M&E Consultancy |ICT Services |Mobile Data Collection | ODK Course | KoboToolBox | GIS and Environment |Agricultural Services |Business Analytics specializing in short courses in GIS, Monitoring and Evaluation (M&E), Data Management, Data Analysis, Research, Social Development, Community Development, Finance Management, Finance Analysis, Humanitarian and Agriculture, Mobile data Collection, Mobile data Collection training, Mobile data Collection training Nairobi, Mobile data Collection training Kenya, ODK, ODK training, ODK training Nairobi, ODK training Kenya, Open Data Kit, Open Data Kit training, Open Data Kit Training, capacity building, consultancy and talent development solutions for individuals and organisations, through our highly customised courses and experienced consultants, in a wide array of disciplines
Other Upcoming Workshops Kenya, Rwanda, Tanzania, Ethiopia and Dubai