Data Scientist – Credit Risk

In brief

**Job Title**: Data Scientist – Credit Risk **Company**: Salt South Africa **Overview** This role, for a Decision Scientist, is with a client of Salt South Africa, joining a high-performing analytics team. The primary focus of the team is on driving smarter credit decisions through data. **What you will do** You will be responsible for working across the full model lifecycle, which includes helping to develop, monitor, and enhance credit decisioning strategies that balance both growth and risk. **Requirements (from the original advert)** * 3+ years’ experience in a credit risk, lending, retail finance, or insurance environment * Experience with scorecard development, validation, and model monitoring * Strong SQL skills and proficiency in Python, R, SAS, or similar analytical tools * Background in decision optimisation, predictive modelling, or machine learning * Degree in Computer Science, Quantitative Analytics, Engineering, Mathematics, Statistics, or a related field **Who should apply** Ideal candidates will have at least 3 years of experience in credit risk, lending, retail finance, or the insurance sector, coupled with hands-on experience in scorecard development, validation, and model monitoring. Applicants must possess strong SQL skills and be proficient in Python, R, SAS, or similar analytical tools, along with a background in decision optimisation, predictive modelling, or machine learning. A degree in Computer Science, Quantitative Analytics, Engineering, Mathematics, Statistics, or a related field is a mandatory requirement. **Deadline** Not specified **Reference** Original posting: https://www.myjobmag.co.za/job/data-scientist-credit-risk-recruit-digital Source: myjobmag

Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.

At a glance

• At least 3 years of experience.

• Python
• SQL

Extracted automatically from the advert; confirm requirements on the original listing.

Job description

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