Quantitative Specialist | 8-10 Years' Experience | AI, Machine Learning & Financial Modelling
Fempower Recruitment Excellence · Pretoria, Gauteng
Stop applying one at a time.
JobAlertsZA auto-applies to South African jobs like this one for you, overnight. Upload your CV once — we do the applying.
Start free — we apply for you →Job Description
- A leading investment management organisation is seeking an experienced Quantitative Specialist with a strong background in Artificial Intelligence AI, Machine Learning ML, predictive analytics, and quantitative research.
- This role is ideal for candidates who have successfully applied AI and ML techniques within financial services, investment management, asset management, banking, or related quantitative environments to solve complex business and investment challenges.
Minimum Requirements
- Postgraduate qualification in Quantitative Finance, Statistics, Mathematics, Data Science, Financial Engineering, Computer Science, or a related field.
- 8-10 years' relevant experience in quantitative research, modelling, data analytics, and investment analysis.
- Proven experience developing and deploying AI and Machine Learning models in a commercial environment.
- Advanced programming and analytical skills.
Critical Experience Required
- Candidates must demonstrate hands-on experience in:
- Artificial Intelligence AI and Machine Learning ML
- Predictive and prescriptive analytics
- Statistical and quantitative modelling
- Portfolio optimisation and risk modelling
- Financial and investment modelling
- Big data analytics and data engineering
- Advanced investment research and data-driven decision-making
Technical Skills
- Strong working knowledge of:
- Python
- PySpark
- R
- MATLAB
- Databricks
- Machine Learning frameworks and algorithms
- Deep Learning techniques LSTM, Neural Networks
- Random Forest
- XGBoost
- K-Means Clustering
- Time-series forecasting models ARIMA
Key Responsibilities
- Design and implement AI and Machine Learning solutions to support investment decision-making.
- Develop quantitative models and predictive analytics capabilities.
- Build portfolio optimisation and risk management frameworks.
- Conduct advanced data analysis to identify investment opportunities and trends.
- Implement innovative data science and automation solutions.
- Translate complex quantitative insights into actionable business recommendations.
- Support strategic research and innovation initiatives.
Key Competencies
- Advanced analytical and quantitative thinking
- Strong AI and Machine Learning expertise
- Innovation and problem-solving ability
- Data-driven decision-making
- Stakeholder engagement and communication skills
- Ability to lead complex quantitative projects