Senior Data Scientist – Financial Forecasting & Risk Modeling

Placements24; Benoni; On-site; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Annual bonus

Health insurance

Retirement plan

Professional development budget

State-of-the-art technology

Generous paid time off

Job summary

Placements24 in Benoni, Gauteng, is seeking a Senior Data Scientist specializing in Financial Modeling to join their financial services client. You will develop predictive models for forecasting, risk, and fraud detection using Python/R and modern ML techniques.

The role emphasizes large datasets, collaboration with stakeholders, and mentoring junior data scientists, with a focus on driving business outcomes in Banking & Finance.

Qualifications

• PhD or MS in a quantitative field such as Data Science, Statistics, CS or Mathematics.
• Minimum 5 years of experience as a Data Scientist with financial modeling focus.
• Proficiency in Python or R and ML libraries; Spark experience is a plus.

Responsibilities

• Develop, validate, and deploy ML models for forecasting and risk management.
• Analyze large datasets to identify trends and insights.
• Design A/B tests and experiments to evaluate model performance.
• Collaborate with stakeholders to translate requirements into data solutions.
• Build data pipelines and ensure data quality for training/deployment.
• Present findings to technical and non-technical audiences.
• Mentor junior data scientists and contribute to team growth.
• Monitor models and drive ongoing performance optimization.

Skills

Python

R

Machine learning

Statistical modeling

Spark

Communication

Problem solving

Team collaboration

Education

PhD or MS in quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Placements24 in Benoni, Gauteng, is seeking a Senior Data Scientist specializing in Financial Modeling to join their financial services client. You will develop predictive models for forecasting, risk, and fraud detection using Python/R and modern ML techniques.

The role emphasizes large datasets, collaboration with stakeholders, and mentoring junior data scientists, with a focus on driving business outcomes in Banking & Finance.