Job 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