Credit Management Excellence

Course Code: FNBN 1017

283 Course Visits

Course Sector:

Finance, Accounting and Banking

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Course Dates and Locations

Choose a date and location to book your seat

No.

Date

Days

Location

Fees

Enrollment

30 Jun - 04 Jul 2025

5 Days

Dubai, UAE

$4,250

13 - 17 Jul 2025

5 Days

Online, Virtual

$2,150

08 - 12 Sep 2025

5 Days

Dubai, UAE

$4,250

10 - 14 Nov 2025

5 Days

Istanbul, Turkey

$4,950

Introduction

Training course introducion / brief

Effective credit management ensures that businesses can extend credit to customers, maintain strong cash flows, and minimize the risk of bad debt.

This comprehensive training program is designed to provide participants with in-depth knowledge of credit management principles, risk assessment techniques, debt recovery strategies, and the latest technological advancements in the field.

Participants will develop skills to create and manage credit policies, conduct financial analysis, and implement proactive credit control measures.

By the end of this program, participants will be equipped with the tools needed to excel in credit management, drive business growth, and mitigate financial risks.

Define credit management and its importance to organizational financial health.
Recognize the role of a credit manager in maintaining strong cash flow and minimizing risk.
Design comprehensive credit policies aligned with business objectives.
Set credit limits, payment terms, and credit approval workflows.
Apply credit scoring systems and benchmarks to assess customer creditworthiness.
Evaluate credit risk using financial ratios and credit ratings.
Analyze key financial statements such as income statements, balance sheets, and cash flow statements to make informed credit decisions.
Utilize credit monitoring systems and early warning tools for proactive risk management.
Apply effective invoicing, payment collection, and debt recovery strategies.
Navigate the legal aspects of debt recovery and manage bankruptcy risk.
Implement modern credit management software and automated systems.
Leverage AI, machine learning, and big data for predictive analytics and decision-making.
Comply with relevant credit laws, anti-money laundering (AML), and Know Your Customer (KYC) regulations.
Maintain ethical standards in credit and debt collection practices.
Understand the impact of global economic changes and emerging technologies like blockchain, AI, and fintech on credit management.
Develop sustainable credit management strategies that align with future business goals.

Credit Managers.
Finance Managers.
Risk Management Professionals.
Accounts Receivable Managers.
Business Owners and Executives.
Anyone Involved in Credit Evaluation or Debt Recovery.

Introduction to Credit Management

Definition, scope, and importance of credit management
The role of a credit manager in financial health
Aligning credit management with business objectives
Introduction to credit policies and procedures
Types of Credit
Fundamentals of Financial Statements
Understanding the Income Statement, Balance Sheet, and Cash Flow Statement for credit evaluation
Case Study: Reviewing the credit policy of a global corporation

Credit Policy Development

Designing an Effective Credit Policy
Elements of a successful credit policy
Setting credit limits and terms
Credit scoring systems and benchmarks
Risk management in credit policy
Credit Terms and Conditions
Payment terms, early payment discounts, late payment penalties
Legal terms in credit agreements
Creating Credit Approval Workflows
Group Exercise: Developing a comprehensive credit policy for a sample company

Credit Control Techniques

Credit Monitoring Systems
Implementing automated systems for tracking receivables
Monitoring payment performance and credit risk
Early warning systems for potential defaulters
Invoicing and Payment Collection
Aging of receivables and prioritization strategies
Managing delinquent accounts
Case Study: Improving credit control in a medium-sized business

Customer Credit Assessment Techniques

Evaluating financial statements for credit decisions
Analyzing past payment behavior and history
Conducting customer background checks
Qualitative vs. Quantitative Credit Assessment
Using big data and predictive analytics in credit assessment
Customer Segmentation for Credit
Practical Exercise: Conducting a credit assessment for different customer profiles

Credit Risk Analysis and Evaluation

Types of credit risks: financial, operational, market risk
Key factors affecting credit risk
The importance of creditworthiness assessment
Financial Ratios in Credit Risk Analysis
Credit Rating Systems
Case Study: Credit risk assessment for a potential new customer

Debt Collection and Recovery Strategies

Setting up a structured debt recovery process
Negotiation techniques for debt recovery
Use of collection agencies and third-party services
Legal actions and litigation for debt recovery
Understanding bankruptcy and insolvency laws
International debt recovery strategies
Practical Exercise: Developing a debt recovery plan for overdue accounts

Managing Bad Debts and Provisions

Identifying and writing off bad debts
Provisioning for doubtful debts in financial statements
Understanding credit insurance policies
Using credit insurance to mitigate bad debt risk
Managing Bankruptcy Risk
Group Discussion: Strategies to reduce exposure to bad debts

Regulatory Compliance in Credit Management

Credit laws, regulations, and standards (national and international)
Compliance with anti-money laundering (AML) and Know Your Customer (KYC) policies
Consumer protection regulations in credit management
Ethical considerations in lending and debt collection
Avoiding predatory lending practices
Practical Exercise: Conducting a compliance audit for a credit department

Technology in Credit Management

Digital Transformation in Credit Management
Implementing credit management software and tools
Automating credit approval and monitoring processes
Use of artificial intelligence (AI) and machine learning in credit risk analysis
Data Analytics for Credit Management
Predictive analytics to forecast customer payment behavior
Big data for trend analysis and decision-making
Case Study: Implementing a digital credit management system

Future Trends in Credit Management

The role of AI, blockchain, and fintech in credit management
Impact of global economic changes on credit management practices
Sustainable credit management strategies
Final Exercise: Developing a Credit Management Excellence Plan for an organization

Boost certificate of completion

BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.

ENDORSED EDUCATION PROVIDER

Flexible deadlines

Customized dates accordance to your schedule

Shareable Certificate

Earn certificate upon completion

COURSE METHODOLOGY

Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).

At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.

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