Quantitative Specialist | 8-10 Years' Experience | AI, Machine Learning & Financial Modelling

Fempower Personnel; Pretoria; On-site; ZAR 1,200,000 - 1,800,000; Full time

Job summary

Fempower Personnel represents a leading investment management organisation seeking a Quantitative Specialist in Pretoria. The role focuses on AI/ML, predictive analytics and quantitative research to address complex investment challenges.

Responsibilities include designing AI-driven models, building risk and portfolio optimisation frameworks, and translating insights into actionable business guidance. Strong programming and data engineering skills are essential.

Qualifications

• Postgraduate qualification in a quantitative field.
• 8-10 years' experience in quantitative research, modelling, data analytics, and investment analysis.
• Proven experience developing and deploying AI/ML models in a commercial environment.
• Advanced programming and analytical skills.

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.
• Translate complex quantitative insights into actionable business recommendations.

Skills

Advanced analytical thinking

Data-driven decision-making

Stakeholder communication

Leadership of complex projects

Education

Postgraduate qualification in Quantitative Finance, Statistics, Mathematics, Data Science, Financial Engineering, Computer Science, or related field

Tools

Python

PySpark

R

MATLAB

Databricks

ML frameworks

Deep Learning (LSTM/NN)

Random Forest

XGBoost

K-Means

ARIMA Time-series

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

If you have a strong track record in AI, Machine Learning, quantitative modelling, and applying advanced analytics to solve complex business or investment problems, we'd like to hear from you.