Job Description
About the Role
We are seeking an experienced Lead Quantitative Analyst with a strong background in machine learning and advanced analytics to join our specialist quantitative function. As a key member of our team, you will play a crucial role in ensuring the robustness, scalability, and production-readiness of our machine learning models, which support critical decision-making across various business areas.
Key Responsibilities
- Lead independent validation of machine learning models, including: Credit risk models Propensity and behavioural models Financial crime models (fraud and AML)
- Apply advanced machine learning techniques such as: Supervised learning (Random Forest, XGBoost, CatBoost, and Neural Networks) Unsupervised learning (clustering, isolation forests, and anomaly detection)
- Manage model risk across the full model lifecycle, including: Feature engineering and data preparation Model training, evaluation, and selection Deployment readiness and ongoing monitoring
- Build, assess, and review models in Python-based environments
- Provide technical leadership and mentorship to analysts and junior data scientists
- Partner with Risk, Technology, and Business stakeholders on model oversight
- Ensure adherence to governance, performance, and scalability standards
Requirements
- Education: Honours or Masters degree in Mathematics, Statistics, Computer Science, Actuarial Science, or a related quantitative field
- Experience: 8+ years of experience in data science, machine learning, or quantitative analytics
- Hands on leadership experience delivering models end-to-end
- Exposure to independent model validation or strong peer review
- Experience in credit risk, propensity modelling, and/or financial crime
Qualifications
- Formal education/certifications not specified
Salary & Benefits
- Salary range not specified
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About IT / Computing / Software Jobs in Gauteng
In Gauteng, the IT and computing industry is a significant contributor to the province’s economy, with a steady demand for skilled professionals. Typically, this field is characterized by rapid technological advancements, innovative projects, and a high level of job satisfaction among employees. Generally, career prospects in this sector are strong, with a range of opportunities available across various industries.
Salaries for IT and computing professionals in Gauteng can vary widely depending on factors such as experience, company size, and industry sector. While it is common to see salaries ranging from R400 000 to R1,200 000 per annum, these figures are only a general guideline and actual salaries may differ significantly. For instance, senior executives or technical leads with extensive experience may command higher salaries, while entry-level positions may start at lower levels.
Common skills required for IT and computing roles in Gauteng include proficiency in programming languages such as Java, Python, or C++, knowledge of cloud platforms like AWS or Azure, and experience with agile development methodologies. Additionally, understanding of data analysis and interpretation, cybersecurity principles, and IT project management are often essential. Familiarity with popular software applications, such as Microsoft Office 365 or Google Workspace, is also beneficial.
The financial services sector, technology industry, manufacturing sector, and government departments are among the common industries that employ IT and computing professionals in Gauteng. These sectors require a range of skills and expertise, from data analysis to network administration, making them attractive options for career development.
For those seeking a career in IT and computing, there are numerous opportunities for professional growth and development. Typically, career progression involves moving into senior roles or specialized positions, such as technical lead, solutions architect, or data scientist. Opportunities for further education and training, such as certifications or postgraduate studies, can also enhance job prospects. Generally, a strong understanding of industry trends, networking, and continuous learning are essential for success in this field.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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