Description:
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