Model Validation Analyst | Hybrid (Stellenbosch or Johannesburg) | R960k CTC

e-Merge IT Recruitment; Stellenbosch; Hybrid; ZAR 864,000 - 1,056,000; Full time

Job summary

A leading South African digital banking group is seeking a Model Validation Analyst to join its Model Risk function. This key role involves independently validating models across credit risk, marketing, and predictive use cases. The ideal candidate will have a degree in Mathematics, Statistics, Actuarial Science, or Data Science, with 3 to 6 years’ relevant experience. The position offers a competitive salary of R960,000 CTC in a hybrid working setup based in Stellenbosch or Johannesburg. Join a data-driven environment where analytics significantly affect business decisions.

Qualifications

• 3 to 6 years’ experience in model development, validation, or monitoring.
• Solid understanding of credit risk modelling.
• Honours degree advantageous.

Responsibilities

• Independently validating and monitoring scorecards and predictive models.
• Partnering with technical and business teams for model robustness.
• Challenging model assumptions, methodologies, and performance.

Skills

Strong data-mining and analytical skills

Independent thinking

Challenging model assumptions

Education

Degree in Mathematics, Statistics, Actuarial Science, or Data Science

Job description

Model Validation Analyst | Hybrid (Stellenbosch or Johannesburg) | R960k CTC

Direct message the job poster from e-Merge IT Recruitment

Model Validation Analyst | Hybrid (Stellenbosch or Johannesburg) | R960k CTC

A leading South African digital banking group is looking for a sharp, detail-driven Model Validation Analyst to join its Model Risk function.

This is a proper analytics role — not a tick-box compliance job. You’ll be validating, challenging, and monitoring models that genuinely matter across credit risk, marketing, and broader predictive use cases.

What you’ll be doing

• Independently validating and monitoring scorecards and predictive models
• Challenging model assumptions, methodologies, and performance
• Working across the full credit lifecycle (application, behaviour, etc.)
• Partnering with technical and business teams to ensure models are robust, transparent, and fit for purpose

What we’re looking for

• Degree in Mathematics, Statistics, Actuarial Science, or Data Science (Honours advantageous)
• 3 to 6 years’ experience in model development, validation, or monitoring
• Strong data‑mining and analytical skills
• Solid understanding of credit risk modelling
• Someone who can think independently, ask uncomfortable questions, and back it up with data

What’s on offer

• R960,000 CTC (negotiable for the right person)
• Permanent role
• Hybrid setup – Stellenbosch or Johannesburg
• A data‑driven environment where analytics actually influences decisions

📩 Interested or know someone suitable?

Reference GZ60938 and contact Garth at garthz@e‑merge.co.za or 011 463 3633 for a confidential chat.

Referral fees paid for successful introductions.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology

Industries

• Financial Services and IT Services and IT Consulting