Credit Risk Data Scientist — Lead ML Scorecards

The Legends Agency; Cape Town; Hybrid; ZAR 600 000 - 800 000; Full time

Job summary

A data-driven financial services firm in Cape Town is seeking a Data Scientist specializing in Credit Risk. In this high-impact role, you will design scorecards and risk models, leveraging Python and machine learning. The ideal candidate has 4-5 years of experience, preferably in a non-bank lender, and possesses strong analytics and programming skills. This position offers a hybrid work environment and UK working hours.

Qualifications

• 4-5 years of experience in data science focused on credit risk modeling.
• Hands-on experience building scorecards and risk models (non-mortgage).
• Background in a non-bank lender or dynamic financial services environment preferred.

Responsibilities

• Design and develop credit risk scorecards and expected loss models.
• Build, deploy, and monitor robust credit risk models using Python and ML frameworks.
• Collaborate across teams to implement analytics solutions that drive business performance.

Skills

Python programming

Machine learning frameworks

Credit risk modeling

Data-driven techniques

Collaboration skills

Tools

AWS

Git

scikit-learn

XGBoost

TensorFlow

Job description

A data-driven financial services firm in Cape Town is seeking a Data Scientist specializing in Credit Risk. In this high-impact role, you will design scorecards and risk models, leveraging Python and machine learning. The ideal candidate has 4-5 years of experience, preferably in a non-bank lender, and possesses strong analytics and programming skills. This position offers a hybrid work environment and UK working hours.