Credit Risk Modelling Analyst

Recruiter:

The Legends Agency

Job Ref:

4RVVR3R5

Date posted:

Wednesday, February 4, 2026

Location:

Cape Town, South Africa

Salary:

R40,000/month – negotiable for exceptional candidates

SUMMARY:
You''ll support credit, finance, and commercial teams with analysis, reporting, and data-driven insights to improve decision-making and business performance

POSITION INFO:

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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