Model Validation Analyst

Recruiter:

wePlace

Job Ref:

JHB000947/AS

Date posted:

Sunday, August 2, 2026

Location:

Johannesburg, South Africa

SUMMARY:
An industry leading Bank has an exciting opportunity available for a Model Validation Analyst to join their team.

POSITION INFO:
As a Model Validation Analyst (Financial Modelling) , you will independently review, challenge, and validate financial models used to support critical business decisions across the bank. You'll work closely with model developers, risk teams, and stakeholders to ensure that models are robust, fit for purpose, and aligned with regulatory and governance requirements. This role offers exposure to a wide range of high-impact modelling disciplines, including: IFRS 9 Provisioning Models Credit Risk Scorecards Pricing Models Capital Models Stress Testing Models Portfolio Risk Analytics Model Risk Governance and Validation What You'll Be Doing Validate and challenge complex financial and credit risk models. Assess model assumptions, methodologies, performance, and limitations. Review provisioning, capital, pricing, and scorecard models. Perform quantitative analysis to identify model risks and opportunities for improvement. Interact with senior stakeholders and provide independent recommendations. Contribute to the enhancement of model governance and model risk management practices. Translate complex technical concepts into clear, actionable business insights. Experience Minimum Experience 3+ years' experience in financial modelling, quantitative analytics, or credit risk modelling.Practical end-to-end model development experience. Experience with one or more of the following: IFRS 9 \/ Provisioning Models Credit Risk Scorecards Pricing Models Capital Models Stress Testing Models Strong statistical analysis and quantitative problem-solving skills. Practical SQL experience. Experience using Python, SAS and\/or R Ideal Experience: Banking or financial services experience. Model validation or model risk management experience. Exposure to Basel or regulatory capital frameworks. Knowledge of retail banking products such as Personal Loans, Credit Cards, Home Loans, or Vehicle Finance. Experience presenting technical findings to senior stakeholders. Qualification (Minimum) Completed degree in Mathematics, Statistics, Data Science, Actuarial Science, Quantitative Finance, Economics, or a related quantitative field. Qualifications (Ideal or Preferred) Honours Degree in Mathematics or Statistics Should you not receive a response from us within one week of your application, your application has unfortunately not been successful. You can visit our website for more vacancies: \/ LinkedIn

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