Job Description
Key Responsibilities:
- Analyse active DR, pre-term, and TDR portfolios to model payer behaviour, payment consistency, drop-off risk, cure potential, and lifecycle value
- Build and own portfolio segmentation, DC/PDA performance views, cohort analysis, seasonal trends, KPIs, yield forecasts, and reinstatement metrics
- Map end-to-end debt review workflows (Acquisition → DC → PDA → Collections → Distribution) and identify optimisation opportunities
- Design and maintain a predictive modelling suite to support operational and commercial decisions
- Develop a Termination Decision Framework using NPV, break-even, ROI, and sensitivity analysis
- Establish daily, weekly, and monthly BI reporting and mandate-level dashboards covering yield, ageing, reinstatements, and settlement uplift
- Partner with operational and senior stakeholders to translate analytics into execution-ready playbooks
Job Experience and Skills Required:
- Education:
- Bachelor’s degree in Statistics, Data Science, Mathematics, Actuarial Science, Economics, or Computer Science
- Honours or Master’s degree advantageous
- Experience:
- Minimum of 5+ years’ experience in credit or collections analytics, preferably within debt review or regulated environments
- Proven delivery of predictive models and operational optimisation initiatives
- Demonstrated ability to convert analytical insight into measurable financial and operational outcomes
- Skills
- Advanced SQL
- Python or R for modelling and statistical techniques (segmentation, survival analysis, and propensity modelling)
- Strong financial modelling capability (NPV, profitability, amortisation, ROI, and sensitivity analysis)
- BI reporting and dashboard development across daily, weekly, and monthly cadences
- End-to-end process mapping and workflow optimisation across DCs, PDAs, and post-termination recovery
- Non-Negotiables:
- Strong understanding of the National Credit Act (NCA), debt review processes, PDAs, and DC behaviour
- Ability to influence operations and senior stakeholders with clear, confident communication
- Proven ability to turn analytics into execution through practical guardrails, playbooks, and measurable performance lift
For more exciting Actuarial and Analytics vacancies, please visit:
Network Recruitment International – Finance Jobs
I also specialise in recruiting in the following:
- Actuarial: Life, Short-Term, Health, Pensions, and Quantitative
- Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning)
- Risk: Credit Risk, Market Risk, Model Risk, and Operational Risk Analysts
- Pricing: Specialists in Insurance and Financial Products
- AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists
- Quantitative: Experts 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 / positions.
For more information, contact:
Zahrah Gani
Specialist Recruitment Consultant
? Connect with me on LinkedIn
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About Other IT/Computer Jobs in Gauteng
The IT and computer industry is one of the most dynamic and growing sectors in Gauteng, with a thriving job market that offers a wide range of opportunities for career advancement.
In terms of salary ranges, IT professionals in Gauteng can expect to earn anywhere from R800 000 per annum for junior positions to over R2 million for senior executives. The average salary for software engineers is around R1.5 million, while data analysts can earn between R900 000 and R1.2 million. With experience and skills, IT professionals in Gauteng can expect significant salary increases, with some roles offering bonuses and benefits that can increase their overall remuneration.
To succeed in the IT industry in Gauteng, candidates need to possess a range of key skills, including programming languages such as Java, Python, and C++, as well as experience with databases, cloud computing, and cybersecurity. Strong problem-solving skills, attention to detail, and excellent communication skills are also essential for success in this field. Additionally, knowledge of ITIL (Information Technology Infrastructure Library) and Agile methodologies can be highly valued by employers.
Several major companies and industries in Gauteng are currently hiring IT professionals, including technology firms such as Microsoft, IBM, and Oracle, as well as banks and financial institutions like Standard Bank and Nedbank. The finance industry is also a significant employer of IT staff, with roles ranging from software development to data analytics and cybersecurity.
Career growth opportunities are abundant in the IT industry in Gauteng, with many companies investing heavily in employee training and development programs. With experience and skills, IT professionals can move into senior leadership positions or start their own businesses, while also pursuing further education and certifications. The Johannesburg Stock Exchange (JSE) is also a significant employer of IT staff, with roles ranging from software development to data analytics and cybersecurity.
Overall, the IT industry in Gauteng offers a wide range of exciting career opportunities for job seekers with the right skills and experience. With salaries that are competitive with those offered by major companies globally, there has never been a better time to pursue a career in this dynamic and rapidly evolving field.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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