Lead Quantitative Analyst - ICT & Research

Coega Development Corporation Pty; Gqeberha; On-site; ZAR 1,000,000 - 1,800,000; Full time

Job summary

Coega Development Corporation (CDC) is seeking a Senior Quantitative Analyst to lead quantitative modelling and analytics initiatives. The role involves driving data-driven strategies, building ML models on Databricks, and collaborating with stakeholders to inform engagement, product recommendations, and operational decisions.

The successful candidate will oversee a team of analysts, apply advanced statistical methods, and contribute to external programmes and investor attraction initiatives.

Qualifications

• Postgraduate degree in Data Science, Statistics, Mathematics, Financial Economics or Econometrics.
• Minimum 10 years of quantitative analysis experience.
• Certifications in Databricks ML Engineer/Data Engineer and cloud AI platforms are highly advantageous.
• Strong Python and SQL expertise.
• Experience with ML deployment and governance on Databricks; feature engineering expertise.
• Advanced Excel and familiarity with statistical tools (R-studio, SPSS) is a plus.
• Knowledge of Generative AI and practical AI use cases; strong communication skills.

Responsibilities

• Drive data analytics and uncover data-driven insights to influence business outcomes.
• Design, train, and optimize ML models using Databricks and distributed compute.
• Lead a team of analysts in exploratory data analysis, statistics, and model validation.
• Collaborate with stakeholders to build optimisation and decisioning models for engagement and operations.
• Provide technical guidance and project management for business cases and funder presentations.

Skills

Python

SQL

Machine Learning

Data Visualization

Education

Postgraduate Data Science / Statistics

Tools

Databricks

MLflow

Git

Airflow

Tableau

Power BI

Excel

Job description

Coega Development Corporation (CDC) is seeking a Senior Quantitative Analyst to lead quantitative modelling and analytics initiatives. The role involves driving data-driven strategies, building ML models on Databricks, and collaborating with stakeholders to inform engagement, product recommendations, and operational decisions.

The successful candidate will oversee a team of analysts, apply advanced statistical methods, and contribute to external programmes and investor attraction initiatives.