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Fempower Personnel

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

Fempower Personnel

  • R Undisclosed
  • Permanent Senior position
  • Wolmer
  • Posted 19 Oct 2026 by Fempower Personnel
  • Expires in 34 days
  • Job 2646380 - Ref 1b702526-d6cc-4
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About the position

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.

Desired Skills:

  • Algorithms
  • C
  • Matlab
  • Python
  • REST
  • PySpark

Desired Qualification Level:

  • Honours

About The Employer:

Investments

Apply Now

Fempower Personnel

About the agency

Fempower Personnel (Pty) Ltd is a leading brand in the provision of staffing services to corporate business in South Africa. We have more than 36 years of experience in matching the skills and career aspirations of our candidates to the human resource requirements of our blue chip clients. We have successfully placed top calibre candidates in most industry sectors and across all skill levels, including senior financial and management positions. Our competency based recruitment process ensures that not only salary and skills competencies are matched, but also that a candidate fits into the cultural environment of the company. It is indicative of our success that we accurately match candidates and clients, so that both parties prosper from the relationship. We invite you to experience the expertise and professional service of Fempower, after all we do it better!

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