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Credit Risk Modelling Analyst

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Job Description - Credit Risk Modelling Analyst

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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