• Build predictive models for drop-off risk, cure, reinstatement, settlement propensity, and post-termination recovery.
• Deliver end-to-end diagnostic insight across active DR, pre-term, and terminated DR portfolios.
• Map and optimise workflows, processes, and data flow across operations, PDAs, DCs, and internal systems.
• Develop portfolio segmentation frameworks and performance dashboards across mandates.
• Analyse payment behaviour, yield trends, reinstatement patterns, and termination economics.
• Provide strategic intelligence to improve collections performance, reduce exceptions, and drive consistent execution.
• Translate analytical findings into actionable operational and financial strategies.

Job Experience and Skills Required:

• Education:
• Degree in Mathematics, Statistics, Data Science, Actuarial Science, or similar (minimum NQF7)
• Experience:
• 2–3 years’ experience in data analytics within financial services
• Strong commercial awareness in collections, debt review, or unsecured lending
• Proven experience in predictive modelling and strategy-driven analytics
• Experience translating analytics into operational and financial action
• Understanding of DR lifecycle, NCA processes, PDAs and DC behaviour (advantageous)
• Skills:
• SQL (advanced)
• Python/R (modelling & statistical packages)
• SAS (advantageous)
• Data visualisation (Power BI / Tableau)
• Advanced Excel for financial modelling
• Workflow and process optimisation
• Strong communication and stakeholder influence
• Non-negotiables:
• Ability to model, diagnose, and optimise complex DR workflows
• Commercially minded with strong quantitative and analytical depth
• Ability to own DR insights end-to-end and influence senior decision-makers

Apply now!

For more exciting Finance vacancies, please visit:
www.********.co.za

I also specialise in recruiting in the following:

• Actuarial roles (Life, Short-Term, Health, Pensions, Quantitative)
• Data Scientists / Data Analysts (Python, R, SQL, Machine Learning)
• Risk Analysts (Credit, Market, Model Risk, Operational)
• Pricing Specialists (Insurance, Financial Products)
• Machine Learning & AI Data Scientists (ML Ops, NLP, Predictive Modelling)
• Quantitative Specialists across Banking, Insurance, and FinTech

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles.

For more information, contact:
Louide le Roux. Please send your CV to *****@*****.co.za

Specialist Recruitment Consultant
Connect with me on LinkedIn:

www.********.co.za

– Build predictive models for drop-off risk, cure, reinstatement, settlement propensity, and post-termination recovery.
– Deliver end-to-end diagnostic insight across Active DR, Pre-Term, and Terminated DR portfolios.
– Map and optimise workflows, processes, and data flow across operations, PDAs, DCs, and internal systems.
– Develop portfolio segmentation frameworks and performance dashboards across mandates.
– Analyse payment behaviour, yield trends, reinstatement patterns, and termination economics.
– Provide strategic intelligence to improve collections performance, reduce exceptions, and drive consistent execution.
– Translate analytical findings into actionable operational and financial strategies.
Job Experience and Skills Required:
Education:
– Degree in Mathematics, Statistics, Data Science, Actuarial Science, or similar (minimum NQF7)
Experience:
– 2–3 years’ experience in data analytics within financial services
– Strong commercial awareness in collections, debt review, or unsecured lending
– Proven experience in predictive modelling and strategy-driven analytics
– Experience translating analytics into operational and financial action
– Understanding of DR lifecycle, NCA processes, PDAs and DC behaviour (advantageous)
Skills:
– SQL (advanced)
– Python/R (modelling & statistical packages)
– SAS (advantageous)
– Data visualisation (Power BI / Tableau)
– Advanced Excel for financial modelling
– Workflow and process optimisation
– Strong communication and stakeholder influence
Non-negotiables:
– Ability to model, diagnose, and optimise complex DR workflows
– Commercially minded with strong quantitative and analytical depth
– Ability to own DR insights end-to-end and influence senior decision-makers
Apply now!
For more exciting Finance vacancies, please visit:
www.********.co.za
I also specialise in recruiting in the following:
– Actuarial roles (Life, Short-Term, Health, Pensions, Quantitative)
– Data Scientists / Data Analysts (Python, R, SQL, Machine Learning)
– Risk Analysts (Credit, Market, Model Risk, Operational)
– Pricing Specialists (Insurance, Financial Products)
– Machine Learning & AI Data Scientists (ML Ops, NLP, Predictive Modelling)
– Quantitative Specialists across Banking, Insurance, and FinTech
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles.
For more information, contact:
Louide le Roux. You can also send your CV to *****@*****.co.za
Secialist Recruitment Consultant
Connect with me on LinkedIn:
www.********.co.za