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Western Cape: Lead: Model Validation posted by Network Finance

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Job Description

In this role, you’ll play a critical part in safeguarding the accuracy and integrity of models across credit, finance, fraud, and operational domains. You’ll thrive here if you enjoy combining technical expertise with leadership, guiding a team, and influencing outcomes at a senior level — all while working with cutting-edge machine learning techniques and emerging technologies.

Key Responsibilities:

  • Lead and deliver independent validations across credit risk, operational optimisation, financial crime, and marketing models.
  • Provide subject matter expertise and technical review of advanced AI and ML models.
  • Build challenger models using state-of-the-art machine learning methods.
  • Research and apply best practices in model development, ensuring models meet governance, regulatory, and risk standards.
  • Mentor and guide junior analysts, supporting technical and professional growth.
  • Collaborate with model developers and business stakeholders, providing effective challenge and assurance.
  • Contribute to the enhancement of validation methodologies, frameworks, and tools.

Job Experience and Skills Required:

  • Education: Honours Degree in Mathematics, Statistics or Data Science.
  • Experience:
    • 6+ years’ experience in model development within Data Science, with direct exposure to model validation or review.
    • Strong expertise in tree-based methods, neural networks, clustering, anomaly detection, and other advanced ML/statistical techniques.
  • Skills:
    • Experience with cloud platforms (AWS preferred) and familiarity with emerging technologies such as large language models.
    • Excellent stakeholder management, communication and facilitation skills across multiple disciplines.
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Apply now!
 
For more exciting Actuarial and Analytics vacancies, please visit:
Network Recruitment International – Finance Jobs
 
I also specialise in recruiting in the following:

  • Actuarial: Life, Short-Term, Health, Pensions, and Quantitative
  • Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning)
  • Risk: Credit Risk, Market Risk, Model Risk, and Operational Risk Analysts
  • Pricing: Specialists in Insurance and Financial Products
  • AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists
  • Quantitative: Experts across Banking, Insurance, and FinTech

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information, contact:
Zahrah Gani
Specialist Recruitment Consultant
? Connect with me on LinkedIn



GO APPLY NOW

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