Credit Risk Modelling Analyst

About the position

Credit Risk Modelling Analyst Join a high-growth fintech driving data-led credit decisions for SMEs Cape Town (Hybrid) | R40,000/month – negotiable for exceptional candidates | 9:00 am – 6:30 pm SAST (occasional UK hours may apply) About Our Client A rapidly growing financial services company offering innovative funding solutions to businesses across the UK. With a strong focus on data-driven decision-making, the Cape Town office is home to a dynamic, collaborative team. This is a great opportunity for an early-career analyst to grow with the business and make a real impact. The Role: Credit Risk Modelling Analyst You'll support credit, finance, and commercial teams with analysis, reporting, and data-driven insights to improve decision-making and business performance. From dashboard building to scorecard development, your work will help shape underwriting, collections, and product decisions. Key Responsibilities Minimum 1 year of experience in a data or business analyst role Build and maintain Tableau dashboards to monitor credit portfolio performance Deliver insights to optimise underwriting and collections processes Support credit scorecard development in collaboration with credit/risk teams Conduct A/B testing and analyse results for new product initiatives Translate stakeholder needs into reporting solutions and KPIs Ensure data accuracy, consistency, and documentation best practices About You At least 1 year in a data analyst, business analyst, or similar role Strong SQL and proficiency in either Python or R Skilled in Tableau (or Power BI) for dashboard creation Experience working with stakeholders to design scalable reporting solutions Exposure to credit analysis, scorecard modelling, or product testing Degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Data Science) from a reputable South African university Analytical, curious, proactive, and comfortable in a fast-paced setting Strong communicator who enjoys working in a collaborative environment Nice to Have Experience with lending, SME finance, or financial services data Exposure to A/B testing methodologies Familiarity with cloud data platforms or data warehouses

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