Job Description
About the Role
You will play a key role within a specialist quantitative function responsible for the independent validation and oversight of machine learning and data science models used across the organisation. These models support critical decision-making in areas such as credit risk, fraud, AML, and customer behaviour.
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, Neural Networks)
- Unsupervised learning (clustering, isolation forests, 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
- Honours or Master’s degree in Mathematics, Statistics, Computer Science, Actuarial Science, or a related quantitative field
- 6–8+ years’ experience in data science, machine learning, or quantitative analytics
- Hands-on leadership experience delivering models end to end
- Experience in credit risk, propensity modelling, and/or financial crime
- Exposure to independent model validation or strong peer review
- Experience in regulated environments
Qualifications
(None mentioned)
Salary & Benefits
(None mentioned)
For more exciting Actuarial and Analytics vacancies, please visit: Network Recruitment International – Finance Jobs
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About Tourism/Hospitality Management Jobs in Gauteng
Gauteng, the economic hub of South Africa, is home to various Tourism and Hospitality Management positions that cater to a diverse range of industries. The job market in this sector typically offers a mix of opportunities for individuals looking to pursue careers in customer service, event management, and hotel operations.
Generally, salaries for Tourism and Hospitality Management roles in Gauteng tend to fall within broad ranges, often influenced by factors such as experience, company size, and industry sector. While it’s difficult to provide an exact salary range without knowing the specific circumstances, common salaries typically start at around R30 000 – R40 000 per annum for entry-level positions, increasing to R60 000 – R80 000 per annum or more for experienced professionals in larger companies.
Common skills required for Tourism and Hospitality Management roles include excellent communication and interpersonal skills, attention to detail, organisational abilities, problem-solving skills, adaptability, and the ability to work well under pressure. Additionally, proficiency in Microsoft Office applications, languages such as Afrikaans or isiZulu (where relevant), and knowledge of South African culture and history can be advantageous.
Tourism and Hospitality Management roles are commonly found across various industries, including the financial services sector, technology industry, manufacturing sector, and entertainment sector. These sectors often require Tourism and Hospitality professionals to manage events, conferences, and corporate functions, ensuring seamless guest experiences and operational efficiency.
Career progression for individuals in this field can be rewarding, with opportunities to move into senior management positions or specialise in specific areas such as event management or hotel operations. Many companies also provide training and development programs to enhance skills and knowledge, allowing professionals to advance their careers and take on new challenges.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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