Diploma in Consumer Credit Risk Management

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Unit 1

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Unit 4

Unit 5

Unit 04             Collections Segmentation and Strategies

Element 4.1:       Segmentation

Learning Outcomes:

What the candidate must do:

4.1.1        Discuss the need for segmentation

4.1.2        Determine the priority for action

What the candidate must know:

4.1.3        The reasons for segmentation

4.1.4        How to prioritise accounts for action 

Element 4.2:       Basic strategy design

Learning Outcomes:

What the candidate must do:

4.2.1     Tilt a strategy

4.2.2     Determine the approach to high risk and balance accounts 

What the candidate must know:

4.2.3    The concept of strategy

4.2.4    The concept of tilting

4.2.5    The concept of triage

Element 4.3:       Collections scoring

Learning Outcomes:

What the candidate must do:

4.3.1        Discuss problem characteristics

4.3.2        Discuss scorecard definitions

4.3.3        Identify the powerful characteristic

 

What the candidate must know:

4.3.4        What characteristics to beware of

4.3.5        How development samples are determined

4.3.6        How to recognise powerful characteristics

 

Element 4.4:       Strategy testing

Learning Outcomes:

What the candidate must do:

4.4.1        Determine good and bad strategies

4.4.2        Review a case study

4.4.3        Calculate the required sample size

What the candidate must know:

4.4.4        The principles of strategy testing

4.4.5        The importance of planning

4.4.6        How to test for significance

Element 4.5:       Performance metrics

Learning Outcomes:

What the candidate must do:

4.5.1        Consider what drives performance

4.5.2        Discuss cash collected as a metric

4.5.3        Complete a Balanced Scorecard 

What the candidate must know:

4.5.4     How agent performance compares with strategy performance

4.5.5     Drivers of performance

4.5.6     How to measure agent performance

Element 4.6:       Roll rates

Learning Outcomes:

What the candidate must do:

4.6.1        Calculate roll rates

4.6.2        Read a Markov Chain output

4.6.3        Discuss ultimate losses 

What the candidate must know:

4.6.4        How roll rates are calculated

4.6.5        Types of roll rate

4.6.6        How to use and interpret true roll rates

Element 4.7:       Tracking strategies

Learning Outcomes:

What the candidate must do:

4.7.1        Calculate the efficiency of a strategy

4.7.2        Evaluate the best strategy

4.7.3        Determine the strategy score band 

What the candidate must know:

4.7.4        The recovery vs costs trade-off

4.7.5        How to evaluate strategies

4.7.6        How to test score ranges

Element 4.8:       Advanced strategies

Learning Outcomes:

What the candidate must do:

4.8.1     Determine the next action

4.8.2     Discuss reasons for customer centric approaches

4.8.3     Determine the combination of multiple collection scores 

What the candidate must know:

4.8.3       How to build “promise to pay” strategies

4.8.4       How to consider recoverability

4.8.5       The reason for and options for customer centric collections

 
 

 

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