Permanent Data Scientist – Credit Risk | The Legends Agency Vacancies
Job Description
The Legends Agency Vacancies – Data Scientist – Credit Risk
Location: Cape Town, Western Cape
Company: The Legends Agency
Job Type: Permanent
Job Sector: Finance
Data Scientist – Credit Risk
Shape the Future of Credit Analytics in a Fast-Paced, High-Impact Role
Data Science Hybrid (Cape Town CBD) | Market Related | UK Working Hours (9 – 5)
About The Legends Agency
The Legends Agency represents an agile, data-driven financial services company dedicated to credit innovation. Operating in a fast-paced environment, they leverage advanced analytics and machine learning to deliver scalable solutions. With a culture built on impact, strategic thinking, and hands-on problem-solving, this role offers the chance to shape analytics in a business where your contributions truly matter.
The Role: Data Scientist – Credit Risk
This is a high-impact position where you will drive the development of credit risk scorecards and underwriting models using Python and machine learning. You will take ownership of analytics initiatives, pioneer risk modeling innovations, and apply your technical expertise to influence key business decisions.
Key Responsibilities
- Design and develop credit risk scorecards and expected loss models
- Build, deploy, and monitor robust credit risk models using Python and ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow)
- Innovate underwriting processes with AI and data-driven techniques
- Maintain best practices in coding (including Git and version control), model deployment, and reproducibility
- Lead the development of scalable environments and tools for reliability and collaboration
- Partner with cross-functional teams to implement analytics solutions that enhance business performance
About You
- 4-5 years of experience in data science with a focus on credit risk modeling
- Hands-on experience in building scorecards and risk models (non-mortgage)
- Strong Python programming skills and proficiency in ML libraries
- Background in non-bank lending or dynamic financial services (e.g., Lulalend, Retail Capital, Transaction Capital, Bayport, Capitec) is preferred
- Degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Engineering)
- Experience with AWS, Git, and AI tools is a plus
- Strategic thinker with a proactive attitude and strong business acumen
- Thrives in a fast-paced, autonomous work environment
APPLY NOW
How to Apply
To apply for this position, click the “Apply Now” button or follow the specific instructions provided in the job description. Ensure that your CV and supporting documents are up to date and relevant to the position.
Please note: This job posting may be closed at any time by the employer, either due to internal recruitment policies, legal requirements, or once a suitable candidate has been found. We encourage you to apply as early as possible.
Only shortlisted candidates will be contacted.
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