Description:
The Company:A rapidly growing African scale-up improving everyday lives by providing access to solar energy and smartphones through innovative financing, in-house technology, and broad distribution networks across the continent.
Whats in it for you?
You will join a purpose-led business that combines the stability of a large organisation with the agility of a small team, where you are trusted with meaningful responsibility from Day 1 in a high-expectation, high-support culture. Enjoy additional benefits such as share options, travel opportunities, hybrid flexibility and annual team retreats.
Your Responsibilities?
Drive Profitability Through Data: Develop, monitor, and refine pricing models to consistently achieve profitability targets. You will model the P&L impact of changes to pricing, credit policies, and commission structures. Credit Performance Forecasting: Build and maintain models to forecast key credit metrics, including repayment rates and portfolio losses. Your forecasts will be a critical input for financial planning and strategic decisions. Enhance our Credit Risk Models: Analyse diverse customer and behavioural datasets to build, backtest, and improve our automated credit scoring and risk-bucketing systems. Explore New Opportunities: Explore, test, and prototype new analytical models and data-driven projects to uncover opportunities for improving business performance and customer outcomes. Deliver Actionable Analysis: Go beyond just building models. You will investigate portfolio trends, identify drivers of good and bad performance, and provide clear, actionable recommendations to in-country teams. Own Commercial Outcomes: You will not stay in a spreadsheet. You'll be expected to own business outcomes, understand the second-order effects of your models on sales and underwriting teams, and do work beyond pure analysis to make things happen. What would make you ideal for the position?
Education: Bachelors or Honours degree in Actuarial Science, Statistics, Data Science, Mathematics, or a related quantitative field. Technical Skills: Strong proficiency in SQL for data extraction and manipulation. Advanced skills in Python or R for statistical analysis, modelling, and data visualization (e.g., scikit-learn, pandas, seaborn). Experience in building and maintaining credit scorecards, pricing models, or complex financial forecasts. Familiarity with data visualization or dashboarding tools (e.g., Tableau, Power BI) is a plus. Soft Skills: Strong analytical and problem-solving abilities. A highly
08 Jan 2026;
from:
gumtree.co.za