Senior Data Scientist, Financial Markets & Trading

Placements24; Centurion; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Placements24 is seeking a Senior Data Scientist for a leading financial services client in Centurion, Gauteng. You will leverage advanced analytics, ML, and statistics to drive strategic decisions across financial markets, working with researchers, traders, and leaders to extract deep insights from large datasets.

The role requires a PhD or Master's in a quantitative field, 5+ years of experience in financial data science, and strong Python or R skills (scikit-learn, TensorFlow, PyTorch).

Qualifications

• Ph.D./Master's in a quantitative field required.
• Minimum 5 years hands-on Data Scientist experience in financial markets or quantitative finance.
• Expert proficiency in Python or R (libraries such as scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Strong experience with SQL and NoSQL databases; production deployment of ML models.

Responsibilities

• Design, develop, and deploy ML models for algorithmic trading, risk management, fraud detection, and customer analytics.
• Perform data mining, feature engineering, and exploration on large datasets.
• Collaborate with stakeholders to translate business requirements into data science solutions.
• Build and maintain data pipelines and processing frameworks.
• Evaluate models, conduct A/B testing, and deploy to production.

Skills

Python

R

SQL

NoSQL

Machine learning

Data mining

Statistical modeling

Communication

Education

PhD in computer science / statistics / mathematics / physics or related quantitative field

Master's degree in quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

pandas

NumPy

Job description

Placements24 is seeking a Senior Data Scientist for a leading financial services client in Centurion, Gauteng. You will leverage advanced analytics, ML, and statistics to drive strategic decisions across financial markets, working with researchers, traders, and leaders to extract deep insights from large datasets.

The role requires a PhD or Master's in a quantitative field, 5+ years of experience in financial data science, and strong Python or R skills (scikit-learn, TensorFlow, PyTorch).