Graduate Actuary / Data Scientist

Recruiter:

Network Recruitment

Job Ref:

NFP016606/HN

Date posted:

Tuesday, February 17, 2026

Location:

Johannesburg, South Africa

SUMMARY:
Are you a top-performing Honours or Master’s graduate who loves building models and solving complex analytical problems? This is your chance to own the analytics engine behind South Africa’s debt review performance—designing predictive models, mapping workflows, and driving measurable improvements across the full DR lifecycle.

POSITION INFO:
Join a specialist credit and collections environment where data is at the centre of strategy. In this role, you’ll build the single source of truth for active DR, preâTerm, and TDR—helping define how the portfolio is measured, segmented, forecasted, and improved.

You’ll work closely with senior stakeholders across operations, DCs, PDAs, and postâtermination teams, using your advanced academic training to design predictive models, map lifecycle behaviour, and influence operational decisions.

What’s in it for you? You’ll architect an enterpriseâgrade analytics framework (diagnostics → modelling → decisions → reporting) and contribute directly to highâimpact outcomes, including:

10–15% improvement in preâterm & TDR collections
5–10% reduction in active DR dropâoff

A rare opportunity for a brilliant quantitative graduate to move straight into a strategic analytics role—not an internship, not a junior support position, but real portfolio ownership from day one.

Key Responsibilities:

Debt Review Lifecycle Diagnostics: Analyse active DR, preâterm, and TDR behaviour including payment consistency, dropâoff risk, survival analysis, cure potential, and lifecycle value.
Portfolio Segmentation & Mandate Performance: Build DC/PDA segmentation, cohort analyses, seasonal patterns, yield outlooks, and reinstatement forecasting.
EndâtoâEnd Process Mapping: Map and analyse the full value chain (Acquisition → DC → PDA → Collections → Distribution) to identify bottlenecks and improvement opportunities.
Predictive Modelling Suite: Design models related to dropâoff risk, reinstatement likelihood, settlement uplift, and workflow optimisation.
Economic & Commercial Analysis: Assist in building a Termination Decision Framework (NPV, breakâeven, ROI, scenario analysis).
Performance Reporting: Develop daily/weekly/monthly reporting dashboards covering yield, ageing, reinstatements, and settlement lift.

Job Experience and Skills Required:

Education (minimum – strict requirement):
- Honours or Master’s degree ONLY in:
  - Statistics
  - Data Science
  - Mathematics
  - Actuarial Science
  - Economics
  - Computer Science
    (Candidates without Honours/Masters cannot be considered.)
Experience:
- No formal work experience required
- Must have demonstrated modelling ability through:
  - Personal projects
  - Academic research / dissertations
  - Kaggle or other competitions
  - Independent modelling work completed in your spare time
- Passion for data, modelling, and problemâsolving is essential
Skills (technical):
- Strong SQL (academic or selfâtaught)
- Python or R for modelling and statistical analysis
- Understanding of survival/propensity models, segmentation, regression methods
- Strong analytical, mathematical, and problemâsolving ability
- Exposure to BI tools (Power BI, Tableau, etc.) beneficial
- Ability to interpret financial metrics (NPV, ROI, profitability)
Nonânegotiables (roleâcritical):
- Must have Honours or Master’s degree
- Strong communication skills with the ability to simplify complexity
- Curiosity and drive to convert analytics into practical execution
- Interest in credit analytics, collections optimisation, or financial behaviour

Apply now!
For more exciting Finance vacancies, please visit:
/>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 / positions.
For more information, contact:
Heidi Joubert
Specialist Recruitment Consultant
Connect with me on LinkedIn!

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