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Job Summary
Key Responsibilities
- Lead the strategic development and optimisation of the collections function, aligning with business goals
- Design, build, implement, and document collections models and strategies across the full lifecycle
- Analyse portfolio-level data to identify key risk factors, root causes, and performance trends
- Drive code optimisation, reporting automation, and advanced analytical insights
- Manage target forecasting, scorecards, and monthly tracking in collaboration with BI and data teams
- Provide insights and strategic guidance to support continuous improvement in overall collections performance
- Recommend and execute champion/challenger strategies to drive portfolio profitability
- Integrate models and analytics into operational processes to enhance collections and recoveries outcomes
- Deliver strategic campaign plans to optimise utilisation of all available tools
- Identify improvements to systems, processes, and policies in support of business strategy
- Communicate complex technical information clearly to non‑technical stakeholders
- Apply industry knowledge to interpret data and drive stronger performance outcomes
Improved collections rates
- Reduced forward roll rates
- Better yield percentages
- Reduced cost to collect
- Improved net lending margin
- Lower non-performing loan ratios
- Reduced credit loss ratios
Job Experience and Skills Required
Education
- Honours Degree or equivalent in:
- BCom (Maths, Stats, Finance), Economics with Econometrics, Actuarial Science, or BSc Engineering
(Preferred)
- BCom (Maths, Stats, Finance), Economics with Econometrics, Actuarial Science, or BSc Engineering
Experience
- 5+ years’ experience in a similar strategy or analytics-focused role
Technical Skills
- Proven experience with: SQL, R, Python, AWS, Advanced Excel
- Banking / Financial Services experience is advantageous
Apply now!
For more exciting Finance vacancies, please visit:? https://www.networkrecruitmentinternational.com
I also specialise in recruiting:
- 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
For more information, contact:
Heidi JoubertSpecialist Recruitment Consultant
Connect with me on LinkedIn:
? https://www.linkedin.com/in/heidi-joubert-1877a236/
Network Finance
Recruiter
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