Job Description
About the Role
Join building a bank that puts people first – a place where motivated, curious, and energetic individuals can grow, innovate, and make a real impact. The Model Validation Lead must have solid data science experience to help strengthen and shape how models are reviewed across the organisation.
Key Responsibilities
- Provide subject matter expertise, oversight, and guidance in the technical review and validation of the organisation’s models, with a focus on machine learning.
- Ensure robust model governance, documentation, and model risk management practices to enhance model quality, methodology, and usage.
- Lead and execute independent validations across diverse model types, including credit risk, operational optimisation, financial crime, and marketing analytics.
- Design, build, and assess challenger models using advanced machine learning techniques.
- Research new and emerging algorithms to ensure model approaches are fit-for-purpose and aligned to industry best practice.
- Ensure models meet regulatory, governance, and internal risk standards.
- Collaborate with model development teams and business stakeholders, delivering effective challenge and assurance.
- Contribute to the continuous enhancement of validation methodologies, frameworks, and best practice standards.
Requirements
- Minimum 6 years’ experience in data science model development, with direct model validation or review experience strongly preferred.
- Strong technical expertise in tree-based methods, neural networks, clustering, anomaly detection, and other advanced ML/statistical techniques.
- Exposure to cloud environments (AWS preferred) and emerging technologies, including large language models (LLMs).
- Ability to independently design and deliver all components of ML projects, except the most complex.
- Experience in data mining, feature engineering, and preparing data for advanced analytics and predictive modelling.
- Experience having your own models independently validated, or direct experience conducting validations.
Qualifications
- Minimum Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field.
- Certification in Machine Learning, Data Science, or related fields (optional).
Salary & Benefits
Salary of up to R1.4mil CTC negotiable on experience and ability. Permanent Hybrid position based in Stellenbosch, Cape Town.
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How to Apply
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About Other IT/Computer Jobs in South Africa
In South Africa, the IT and computer industry is a significant contributor to the country’s economy, with a diverse range of job opportunities available across various sectors. Typically, these roles involve working with technology to drive business growth, improve efficiency, and enhance customer experience. Generally, careers in this field require a strong understanding of technical concepts and a willingness to adapt to changing technologies.
When it comes to salary expectations, it’s common for IT and computer professionals in South Africa to earn broad ranges that can vary significantly depending on factors such as experience, company size, and industry sector. Typically, entry-level positions may offer salaries between R400 000 and R600 000 per annum, while more senior roles can command higher figures, often ranging from R800 000 to R2 million or more, depending on the specific requirements of the job.
Common skills for IT and computer professionals in South Africa typically include proficiency in programming languages such as Java, Python, or C++, as well as experience with operating systems like Windows, Linux, or macOS. Data analysis and visualisation tools like Tableau, Power BI, or D3.js are also often required, particularly in roles involving data science or business intelligence. Additionally, IT professionals should be familiar with cloud computing platforms like AWS, Azure, or Google Cloud, as well as cybersecurity principles to protect against threats. Other essential skills may include project management, collaboration tools like Slack or Trello, and a solid understanding of database management systems.
Industries that commonly employ IT and computer professionals in South Africa include the financial services sector, technology industry, manufacturing sector, and public sector organisations. These sectors often require specialists to design, implement, and maintain complex technological systems, ensuring they operate efficiently and securely.
Career development opportunities for IT and computer professionals in South Africa are diverse and varied. Typically, entry-level roles provide a solid foundation for progression into mid-tier positions, where professionals can take on more senior responsibilities and develop their technical expertise. With experience, it’s common to move into leadership roles or transition into related fields like data science, artificial intelligence, or cybersecurity. Many companies also offer opportunities for training, certification, and continuing education to support the ongoing development of their employees’ skills and knowledge.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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