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Model Validation Lead – Data Science

Model Validation Lead – Data Science

Network RecruitmentStellenbosch, South Africa
11 days ago
Job description

Join a leading, innovation-driven financial services group that is reshaping the way banking is experienced. The business is committed to empowering clients through simplified, accessible, and client-first banking solutions and to achieve that, they hire only the best people.

As the Model Validation Lead , youll play a critical role in ensuring the accuracy, reliability, and governance of models across credit, finance, and fraud risk domains. Youll work in a high-impact environment, collaborate with talented Data Scientists and stakeholders, and provide technical expertise that influences key business decisions.

Whats In It For You? :

  • Opportunity to work with cutting-edge AI and machine learning models
  • A culture that values innovation, collaboration, and ownership
  • Mentorship and leadership opportunities as you guide and grow a team of Analysts
  • Direct involvement in business-critical risk and strategy decisions

Key Responsibilities :

  • Lead independent validations across a range of models, including credit risk, operational optimisation, financial crime, and marketing.
  • Design and implement challenger models using advanced machine learning methods.
  • Partner with Model Developers and stakeholders to provide technical assurance and effective challenge.
  • Mentor Junior Analysts, supporting their professional and technical growth.
  • Contribute to the development of model governance frameworks and best practices.
  • Job Experience and Skills Required :

  • Education :
  • Minimum : Honours Degree in Mathematics, Statistics or Data Science

  • Preferred : Masters Degree in Mathematics, Statistics or Data Science
  • Experience :
  • 6+ years proven experience in model development (direct model validation experience IS an advantage).

  • Exposure to governance, regulatory compliance, and risk management.
  • Proven track record of mentoring and leading junior analysts.
  • Skills :
  • Strong technical expertise in machine learning techniques (tree-based methods, neural networks, clustering, AND anomaly detection).

  • Skilled in Python / R and experience with cloud platforms (AWS preferred).
  • Ability to present findings and influence senior stakeholders.
  • Able to work independently and manage multiple validation projects end-to-end.
  • Apply now!

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    Data • Stellenbosch, South Africa

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