Debt Collection, Recovery, Negotiation and Credit Control Management

Course Overview

The key objective of this Debt Collection, Recovery, Negotiation and Credit Control Management course is to empower professionals to—
• clearly understand debt collection, recovery, negotiation and credit control management
• define and establish strong credit control systems and processes to reduce the risks of defaulters impacting the organisation’s financial status
• draft simple, clear credit policies and other guidelines to ensure that the precaution needed is understood and practised by all employees organisation-wide
• establish stringent guidelines for onboarding customers or other finance-related functions to prevent problems in the issue of loans and other support
• train other professionals on best practices and concepts of debt collection, recovery, negotiation and credit control management
• negotiate, on behalf of one’s organisation, with debtors to recover the maximum amount possible, thereby supporting organisational stability and growth and establishing oneself as a talented professional to handle greater opportunities
• work with advanced tools and technology to enhance screening, monitoring, tracking and follow-up processes
• audit existing documentation and ongoing loan agreements to identify early risks and take actions accordingly
• possess supreme experience and multitasking abilities to handle greater responsibilities within and outside the organisation, supporting one’s career progression

Training Format:In-class, Virtual, In-house

Location:Lagos, Accra, Nairobi, Kigali

Language:English, French

Nigeria Price:
₦330001

Int'l., (Nigeria) Price:
$1000

Ghana Price:
$4000

Kenya Price:
$5500

Rwanda Price:
$6001

Nigeria Price:₦330001

Int'l., (Nigeria) Price:
$1000

Ghana Price:
$4000

Kenya Price:
$4000

Rwanda Price:
$4000

Nigeria Price: ₦330001

Int'l., (Nigeria) Price:
$1000

Ghana Price: $4000

Kenya Price: $4000

Rwanda Price: $4000

Types of Debt Collectors
• First-party agencies
• Third-party agencies
• Sale of debts

Debt Recovery Process
• Initial consultation
• Due diligence
• Issue of letter of demand
• Awaiting response and negotiate
• Filing of court papers
• Enforcement of court decision

Measures Reducing Bad Debt Recovery
• Thorough customer background check
• Safe customer credit limits
• Release of goods after payment clearance
• Shipping of goods after direct deposit payment
• Regular invoicing
• Clear payment instructions and terms on invoices
• Regular contact with customers

Effective Debt Collection Strategies
• Alternate but flexible payment terms
• Customer-oriented operations
• Up-to-date communications
• Applied analytics
• Centralised debt collection systems

Challenges Impacting Debt Collection Operations
• Increased focus of regulators
• Ineffective debt collection systems
• Inefficient customer segmentation
• Lack of proper tools
• Lack of a consolidated borrower-centric approach
• Multi-product, multi-channel, multi-debt obligations

Debt Collection Agency Functions
• Tracing creditor
• Negotiating
• Systematic follow-up
• Maintaining records

Methods of Debt Collection Agencies to Recover Debt
• Freezing accounts
• Property as security
• Wage garnishment

Effective Credit Policy Components
• Term of sale
• Credit extension
• Collection policy

Effective Debt Settlement Negotiations
• Start with reminders
• Have accurate information
• Do your research
• Stay professional
• Approach negotiations as equals
• Have a concrete minimum
• Require a counter-offer
• Confirm deal in writing
• Clearly explain ramifications
• Remember follow-up letters

Cash Flow Management
• Cash flow cycle
• Accelerating cash inflows
• Cash flow forecast
• Cash flow surpluses and shortages

Credit Control System Set-Up
• Clear credit terms and limit
• Check new customer credit scores
• Terms and conditions in writing
• Offer different payment options
• Consider discounts for early payments
• Send regular reminders
• Employ debt collection agencies
• Commence legal proceedings in time
• Buy trade credit insurance

Credit Risk Modelling Examples
• Financial statement analysis models
• Default probability models
• Machine learning models

Factors Affecting Borrowers’ Credit Risk
• The probability of default
• Loss given default
• Exposure at default

1ST BATCH: Tuesday, February 17, 2026 — Friday, February 20, 2026.

2ND BATCH: Tuesday, June 16, 2026 — Friday, June 19, 2026.

3RD BATCH: Tuesday, October 13, 2026 — Friday, October 16, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.

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