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Quantitative Specialist AI, Machine Learning & Financial Modelling

Job in Pretoria, 0002, South Africa
Listing for: Fempower Personnel
Contract position
Listed on 2026-10-21
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, Data Analyst, AI Business & Operations
  • Finance & Banking
    Data Scientist, AI Business & Operations
Job Description & How to Apply Below
Position: Quantitative Specialist | 8-10 Years' Experience | AI, Machine Learning & Financial Modelling

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
  • Py Spark
  • 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.

Position Requirements
10+ Years work experience
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